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ORCIDEmanuele Rodolà
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2020 – today
- 2025
[j37]Luca Cosmo, Giorgia Minello, Alessandro Bicciato, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
Graph Kernel Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6257-6270 (2025)- [i81]Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodolà:
MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs. CoRR abs/2502.10436 (2025) - [i80]Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà:
Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching. CoRR abs/2503.01881 (2025) - [i79]Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodolà, Simone Melzi, Maks Ovsjanikov:
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. CoRR abs/2503.05283 (2025) - 2024
- [j36]Danilo Avola
, Irene Cannistraci, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Emanuele Rodolà, Luciana Solito:
MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms. Comput. Methods Programs Biomed. 245: 108037 (2024) - [j35]Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
Latent spectral regularization for continual learning. Pattern Recognit. Lett. 184: 119-125 (2024) - [j34]Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei:
Sparse Vicious Attacks on Graph Neural Networks. IEEE Trans. Artif. Intell. 5(5): 2293-2303 (2024) - [c85]Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein:
Vector Quantile Regression on Manifolds. AISTATS 2024: 1999-2007 - [c84]Filippo Maggioli, Daniele Baieri, Emanuele Rodolà, Simone Melzi:
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence. ECCV (37) 2024: 183-200 - [c83]Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss:
Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis. ICASSP 2024: 936-940 - [c82]Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà:
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. ICASSP 2024: 6980-6984 - [c81]Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà:
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. ICLR 2024 - [c80]Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. ICLR 2024 - [c79]Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà:
$C^2M^3$: Cycle-Consistent Multi-Model Merging. NeurIPS 2024 - [c78]Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà:
Latent Functional Maps: a spectral framework for representation alignment. NeurIPS 2024 - [i78]Francesco Palandra, Andrea Sanchietti, Daniele Baieri, Emanuele Rodolà:
GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting. CoRR abs/2403.05154 (2024) - [i77]Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà:
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. CoRR abs/2403.11706 (2024) - [i76]Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà:
Zero-Shot Stitching in Reinforcement Learning using Relative Representations. CoRR abs/2404.12917 (2024) - [i75]Ruben Ciranni, Emilian Postolache, Giorgio Mariani, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. CoRR abs/2404.16969 (2024) - [i74]Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Taketo Akama:
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. CoRR abs/2405.09062 (2024) - [i73]Daniele Baieri, Filippo Maggioli, Zorah Lähner, Simone Melzi, Emanuele Rodolà:
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing. CoRR abs/2405.12895 (2024) - [i72]Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà:
C2M3: Cycle-Consistent Multi-Model Merging. CoRR abs/2405.17897 (2024) - [i71]Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà:
Latent Functional Maps. CoRR abs/2406.14183 (2024) - [i70]Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Inverse Relative Projection. CoRR abs/2406.15057 (2024) - [i69]Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà:
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions. CoRR abs/2408.05212 (2024) - [i68]Irene Cannistraci, Emanuele Rodolà, Bastian Rieck:
Detecting and Approximating Redundant Computational Blocks in Neural Networks. CoRR abs/2410.04941 (2024) - [i67]Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello:
ResiDual Transformer Alignment with Spectral Decomposition. CoRR abs/2411.00246 (2024) - [i66]Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà:
ATM: Improving Model Merging by Alternating Tuning and Merging. CoRR abs/2411.03055 (2024) - [i65]Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà:
Task Singular Vectors: Reducing Task Interference in Model Merging. CoRR abs/2412.00081 (2024) - 2023
- [j33]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c77]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. AAAI 2023: 9444-9452 - [c76]Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà:
Accelerating Transformer Inference for Translation via Parallel Decoding. ACL (1) 2023: 12336-12355 - [c75]Andrea Santilli, Emanuele Rodolà:
Camoscio: An Italian Instruction-tuned LLaMA. CLiC-it 2023 - [c74]Babak Solhjoo, Emanuele Rodolà:
Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation. ICAART (2) 2023: 427-436 - [c73]Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. Tiny Papers @ ICLR 2023 - [c72]Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà:
Relative representations enable zero-shot latent space communication. ICLR 2023 - [c71]Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri:
Fauno: The Italian Large Language Model that will leave you senza parole! IIR 2023: 9-17 - [c70]Francesco Bonzi, Michele Mancusi, Simone Del Deo, Pierfrancesco Melucci, Maria Stella Tavella, Loreto Parisi, Emanuele Rodolà:
Exploiting Music Source Separation For Singing Voice Detection. MLSP 2023: 1-6 - [c69]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. NeurIPS 2023 - [c68]Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. NeurIPS 2023 - [c67]Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello:
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. NeurIPS 2023 - [c66]Filippo Maggioli, Jonathan Klein, Torsten Hädrich, Emanuele Rodolà, Wojtek Palubicki, Sören Pirk, Dominik L. Michels:
A Physically-inspired Approach to the Simulation of Plant Wilting. SIGGRAPH Asia 2023: 66:1-66:8 - [c65]Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri:
Multimodal Neural Databases. SIGIR 2023: 2619-2628 - [c64]Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron:
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. UniReps 2023: 1-10 - [e2]Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron:
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA. Proceedings of Machine Learning Research 243, PMLR 2023 [contents] - [i64]Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
CaSpeR: Latent Spectral Regularization for Continual Learning. CoRR abs/2301.03345 (2023) - [i63]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. CoRR abs/2301.08562 (2023) - [i62]Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. CoRR abs/2302.02257 (2023) - [i61]Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. CoRR abs/2303.00721 (2023) - [i60]Daniele Baieri, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà:
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors. CoRR abs/2303.09871 (2023) - [i59]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. CoRR abs/2304.07939 (2023) - [i58]Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri:
Multimodal Neural Databases. CoRR abs/2305.01447 (2023) - [i57]Filippo Maggioli, Daniele Baieri, Emanuele Rodolà:
Massive Uniform Mesh Decimation via a Fast Intrinsic Delaunay Triangulation. CoRR abs/2305.09274 (2023) - [i56]Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà:
Accelerating Transformer Inference for Translation via Parallel Decoding. CoRR abs/2305.10427 (2023) - [i55]Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri:
Fauno: The Italian Large Language Model that will leave you senza parole! CoRR abs/2306.14457 (2023) - [i54]Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein:
Vector Quantile Regression on Manifolds. CoRR abs/2307.01037 (2023) - [i53]Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac:
Geometric Epitope and Paratope Prediction. CoRR abs/2307.13608 (2023) - [i52]Andrea Santilli, Emanuele Rodolà:
Camoscio: an Italian Instruction-tuned LLaMA. CoRR abs/2307.16456 (2023) - [i51]Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà:
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. CoRR abs/2310.01211 (2023) - [i50]Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss:
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis. CoRR abs/2310.15247 (2023) - [i49]Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. CoRR abs/2311.00664 (2023) - [i48]Daniele Baieri, Donato Crisostomi, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà:
Efficient Generation of Multimodal Fluid Simulation Data. CoRR abs/2311.06284 (2023) - [i47]Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà:
From Charts to Atlas: Merging Latent Spaces into One. CoRR abs/2311.06547 (2023) - [i46]Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, György Fazekas:
Zero-Shot Duet Singing Voices Separation with Diffusion Models. CoRR abs/2311.07345 (2023) - 2022
- [j32]Patrizio Frosini, Daniela Giorgi, Simone Melzi, Emanuele Rodolà:
Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021). Comput. Graph. 105: 12- (2022) - [j31]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum 41(2): 407-417 (2022) - [j30]Marco Pegoraro, Simone Melzi, Umberto Castellani, Riccardo Marin, Emanuele Rodolà:
Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach. Comput. Graph. Forum 41(5): 13-24 (2022) - [j29]Filippo Maggioli, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
MoMaS: Mold Manifold Simulation for real-time procedural texturing. Comput. Graph. Forum 41(7): 519-527 (2022) - [j28]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. Int. J. Comput. Vis. 130(6): 1474-1493 (2022) - [j27]Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà:
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2527-2534 (2022) - [c63]Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof:
3D Human Pose Estimation Using Möbius Graph Convolutional Networks. ECCV (1) 2022: 160-178 - [c62]Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin:
Inverse Computational Spectral Geometry. Eurographics (Tutorials) 2022 - [c61]Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà:
Metric Based Few-Shot Graph Classification. LoG 2022: 33 - [c60]Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov:
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. NeurIPS 2022 - [c59]Filippo Maggioli, Daniele Baieri, Simone Melzi, Emanuele Rodolà:
Newton's Fractals on Surfaces via Bicomplex Algebra. SIGGRAPH Posters 2022: 65:1-65:2 - [i45]Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi:
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation. CoRR abs/2201.05013 (2022) - [i44]Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà:
Explanatory Learning: Beyond Empiricism in Neural Networks. CoRR abs/2201.10222 (2022) - [i43]Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof:
3D Human Pose Estimation Using Möbius Graph Convolutional Networks. CoRR abs/2203.10554 (2022) - [i42]Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà:
Harnessing spectral representations for subgraph alignment. CoRR abs/2205.14938 (2022) - [i41]Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà:
Metric Based Few-Shot Graph Classification. CoRR abs/2206.03695 (2022) - [i40]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i39]Stefano Esposito, Daniele Baieri, Stefan Zellmann, André Hinkenjann, Emanuele Rodolà:
KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination. CoRR abs/2206.10885 (2022) - [i38]Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei:
Sparse Vicious Attacks on Graph Neural Networks. CoRR abs/2209.09688 (2022) - [i37]Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà:
Relative representations enable zero-shot latent space communication. CoRR abs/2209.15430 (2022) - [i36]Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello:
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training. CoRR abs/2210.01738 (2022) - [i35]Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov:
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. CoRR abs/2211.14604 (2022) - 2021
- [j26]Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov:
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. Comput. Graph. Forum 40(1): 165-179 (2021) - [j25]Filippo Maggioli, Simone Melzi, Maksim Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Orthogonalized Fourier Polynomials for Signal Approximation and Transfer. Comput. Graph. Forum 40(2): 435-447 (2021) - [j24]Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Spectral Shape Recovery and Analysis Via Data-driven Connections. Int. J. Comput. Vis. 129(10): 2745-2760 (2021) - [c58]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops 2021: 2749-2758 - [c57]Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. CVPR 2021: 3216-3226 - [c56]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. ICML 2021: 3530-3540 - [c55]Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà:
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose. ICPP 2021: 56:1-56:12 - [c54]Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
Shape Registration in the Time of Transformers. NeurIPS 2021: 5731-5744 - [e1]Patrizio Frosini, Daniela Giorgi, Simone Melzi, Emanuele Rodolà:
Italian Chapter Conference 2021 - Smart Tools and Apps in Graphics, Virtual Event, Italy, October 28-29, 2021. Eurographics Association 2021 [contents] - [i34]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. CoRR abs/2103.01638 (2021) - [i33]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. CoRR abs/2104.00514 (2021) - [i32]Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. CoRR abs/2104.03356 (2021) - [i31]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-driven Graph Federated Learning over Multiple Domains. CoRR abs/2104.14628 (2021) - [i30]Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
Shape registration in the time of transformers. CoRR abs/2106.13679 (2021) - [i29]Marco Pegoraro, Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
Learning to generate shape from global-local spectra. CoRR abs/2108.02161 (2021) - [i28]Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Unsupervised Source Separation via Bayesian Inference in the Latent Domain. CoRR abs/2110.05313 (2021) - [i27]Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà:
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose. CoRR abs/2110.13042 (2021) - [i26]Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov:
Why you should learn functional basis. CoRR abs/2112.07289 (2021) - [i25]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
Graph Kernel Neural Networks. CoRR abs/2112.07436 (2021) - 2020
- [j23]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
FARM: Functional Automatic Registration Method for 3D Human Bodies. Comput. Graph. Forum 39(1): 160-173 (2020) - [j22]Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà:
A parametric analysis of discrete Hamiltonian functional maps. Comput. Graph. Forum 39(5): 103-118 (2020) - [j21]Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà:
Generating Adversarial Surfaces via Band-Limited Perturbations. Comput. Graph. Forum 39(5): 253-264 (2020) - [j20]Danilo Avola, Marco Cascio, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni, Emanuele Rodolà:
2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs. IEEE Trans. Multim. 22(10): 2481-2496 (2020) - [j19]Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear spectral geometry processing via the TV transform. ACM Trans. Graph. 39(6): 199:1-199:16 (2020) - [c53]Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Instant recovery of shape from spectrum via latent space connections. 3DV 2020: 120-129 - [c52]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) 2020: 19-35 - [c51]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
Towards Precise Completion of Deformable Shapes. ECCV (24) 2020: 359-377 - [i24]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR abs/2001.09650 (2020) - [i23]Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Instant recovery of shape from spectrum via latent space connections. CoRR abs/2003.06523 (2020) - [i22]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR abs/2003.12283 (2020) - [i21]Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà:
Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. CoRR abs/2005.14117 (2020) - [i20]Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov:
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. CoRR abs/2007.11632 (2020) - [i19]Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear Spectral Geometry Processing via the TV Transform. CoRR abs/2009.03044 (2020) - [i18]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. CoRR abs/2009.09312 (2020) - [i17]Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. CoRR abs/2011.13076 (2020)
2010 – 2019
- 2019
- [j18]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38(1): 678-689 (2019) - [j17]Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov:
ZoomOut: spectral upsampling for efficient shape correspondence. ACM Trans. Graph. 38(6): 155:1-155:14 (2019) - [c50]Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. 3DV 2019: 37-46 - [c49]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. 3DV 2019: 230-239 - [c48]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c47]Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov:
Matching Humans with Different Connectivity. 3DOR@Eurographics 2019: 121-128 - [c46]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Unsupervised Learning of Dense Shape Correspondence. CVPR 2019: 4370-4379 - [c45]Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà:
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. CVPR 2019: 4629-4638 - [c44]Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or How to Hear Shape, Style, and Correspondence. CVPR 2019: 7529-7538 - [c43]Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà:
Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) 2019: 43 - [i16]Simone Melzi, Jing Ren, Emanuele Rodolà, Peter Wonka, Maks Ovsjanikov:
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence. CoRR abs/1904.07865 (2019) - [i15]Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. CoRR abs/1906.06226 (2019) - 2018
- [j16]Dorian Nogneng, Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein, Maks Ovsjanikov:
Improved Functional Mappings via Product Preservation. Comput. Graph. Forum 37(2): 179-190 (2018) - [j15]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Localized Manifold Harmonics for Spectral Shape Analysis. Comput. Graph. Forum 37(6): 20-34 (2018) - [c42]Emanuele Rodolà:
Structured Prediction of Dense Maps between Geometric Domains. ICASSP 2018: 6867-6871 - [c41]Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps on Product Manifolds. SGP (Posters) 2018: 9-10 - [i14]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
FARM: Functional Automatic Registration Method for 3D Human Bodies. CoRR abs/1807.10517 (2018) - [i13]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. CoRR abs/1809.10940 (2018) - [i12]Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or how to hear shape, style, and correspondence. CoRR abs/1811.11465 (2018) - [i11]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. CoRR abs/1812.02415 (2018) - 2017
- [j14]Luca Cosmo, Emanuele Rodolà, Andrea Albarelli, Facundo Mémoli, Daniel Cremers:
Consistent Partial Matching of Shape Collections via Sparse Modeling. Comput. Graph. Forum 36(1): 209-221 (2017) - [j13]Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers:
Partial Functional Correspondence. Comput. Graph. Forum 36(1): 222-236 (2017) - [j12]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Fully Spectral Partial Shape Matching. Comput. Graph. Forum 36(2): 247-258 (2017) - [j11]Emanuele Rodolà, Michael Möller, Daniel Cremers:
Regularized Pointwise Map Recovery from Functional Correspondence. Comput. Graph. Forum 36(8): 700-711 (2017) - [c40]Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello:
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. 3DV 2017: 477-485 - [c39]Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. 3DV 2017: 517-526 - [c38]Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c37]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. CVPR 2017: 5425-5434 - [c36]Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CVPR 2017: 6681-6690 - [c35]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV 2017: 5660-5668 - [c34]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Localized Manifold Harmonics for Spectral Shape Analysis. SGP (Posters) 2017: 5-6 - [c33]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH Courses 2017: 5:1-5:62 - [i10]Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CoRR abs/1701.00669 (2017) - [i9]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR abs/1704.08686 (2017) - [i8]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Localized Manifold Harmonics for Spectral Shape Analysis. CoRR abs/1707.02596 (2017) - [i7]Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. CoRR abs/1707.08991 (2017) - 2016
- [j10]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers:
Anisotropic Diffusion Descriptors. Comput. Graph. Forum 35(2): 431-441 (2016) - [j9]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. Comput. Graph. Forum 35(5): 135-143 (2016) - [j8]Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Emanuele Rodolà, Andrea Torsello:
An Accurate and Robust Artificial Marker Based on Cyclic Codes. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2359-2373 (2016) - [c32]Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein:
Matching Deformable Objects in Clutter. 3DV 2016: 1-10 - [c31]Davide Eynard, Emanuele Rodolà, Klaus Glashoff, Michael M. Bronstein:
Coupled Functional Maps. 3DV 2016: 399-407 - [c30]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Shape Analysis with Anisotropic Windowed Fourier Transform. 3DV 2016: 470-478 - [c29]Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, Yusuf Sahillioglu:
Partial Matching of Deformable Shapes. 3DOR@Eurographics 2016 - [c28]Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu:
Matching of Deformable Shapes with Topological Noise. 3DOR@Eurographics 2016 - [c27]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR 2016: 2185-2193 - [c26]Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini:
Deep Learning for Shape Analysis. Eurographics (Tutorials) 2016 - [c25]Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodolà, Daniel Cremers:
A game-theoretical approach for joint matching of multiple feature throughout unordered images. ICPR 2016: 3715-3720 - [c24]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. NIPS 2016: 3189-3197 - [c23]Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li:
Geometric deep learning. SIGGRAPH ASIA Courses 2016: 1:1-1:50 - [c22]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses 2016: 9:1-9:60 - [p2]Matthias Vestner, Emanuele Rodolà, Thomas Windheuser, Samuel Rota Bulò, Daniel Cremers:
Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence. Perspectives in Shape Analysis 2016: 231-248 - [i6]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR abs/1601.06070 (2016) - [i5]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. CoRR abs/1605.06437 (2016) - [i4]Matthias Vestner, Roee Litman, Alexander M. Bronstein, Emanuele Rodolà, Daniel Cremers:
Bayesian Inference of Bijective Non-Rigid Shape Correspondence. CoRR abs/1607.03425 (2016) - [i3]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric deep learning on graphs and manifolds using mixture model CNNs. CoRR abs/1611.08402 (2016) - 2015
- [j7]Roberto Mecca, Emanuele Rodolà, Daniel Cremers:
Realistic photometric stereo using partial differential irradiance equation ratios. Comput. Graph. 51: 8-16 (2015) - [j6]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Fast and accurate surface alignment through an isometry-enforcing game. Pattern Recognit. 48(7): 2209-2226 (2015) - [j5]Emanuele Rodolà, Andrea Albarelli, Daniel Cremers, Andrea Torsello:
A simple and effective relevance-based point sampling for 3D shapes. Pattern Recognit. Lett. 59: 41-47 (2015) - [c21]Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodolà, Daniel Cremers:
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. CVPR 2015: 3003-3012 - [c20]Emanuele Rodolà, Michael Möller, Daniel Cremers:
Point-wise Map Recovery and Refinement from Functional Correspondence. VMV 2015: 25-32 - [i2]Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers:
Partial Functional Correspondence. CoRR abs/1506.05274 (2015) - [i1]Emanuele Rodolà, Michael Möller, Daniel Cremers:
Point-wise Map Recovery and Refinement from Functional Correspondence. CoRR abs/1506.05603 (2015) - 2014
- [j4]Emanuele Rodolà, Samuel Rota Bulò, Daniel Cremers:
Robust Region Detection via Consensus Segmentation of Deformable Shapes. Comput. Graph. Forum 33(5): 97-106 (2014) - [c19]Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada:
Learning Similarities for Rigid and Non-rigid Object Detection. 3DV 2014: 720-727 - [c18]Thomas Windheuser, Matthias Vestner, Emanuele Rodolà, Rudolph Triebel, Daniel Cremers:
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. BMVC 2014 - [c17]Emanuele Rodolà, Samuel Rota Bulò, Thomas Windheuser, Matthias Vestner, Daniel Cremers:
Dense Non-rigid Shape Correspondence Using Random Forests. CVPR 2014: 4177-4184 - [c16]Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers:
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) 2014: 299-312 - 2013
- [j3]Emanuele Rodolà, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello:
A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes. Int. J. Comput. Vis. 102(1-3): 129-145 (2013) - [j2]Andrea Torsello, Andrea Albarelli, Emanuele Rodolà:
Stable and fast techniques for unambiguous compound phase coding. Image Vis. Comput. 31(4): 341-356 (2013) - [c15]Emanuele Rodolà, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers:
Efficient Shape Matching using Vector Extrapolation. BMVC 2013 - [c14]Filippo Bergamasco, Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? CVPR 2013: 1391-1398 - [c13]Emanuele Rodolà, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers:
Elastic Net Constraints for Shape Matching. ICCV 2013: 1169-1176 - [p1]Marcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, Emanuele Rodolà:
A Game-Theoretic Approach to Pairwise Clustering and Matching. Similarity-Based Pattern Analysis and Recognition 2013: 179-216 - 2012
- [b1]Emanuele Rodolà:
Sparse and robust matching problem for 3D shape analysis. Ca' Foscari University of Venice, Italy, 2012 - [j1]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective. Int. J. Comput. Vis. 97(1): 36-53 (2012) - [c12]Emanuele Rodolà, Alexander M. Bronstein, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello:
A game-theoretic approach to deformable shape matching. CVPR 2012: 182-189 - 2011
- [c11]Andrea Albarelli, Emanuele Rodolà, Filippo Bergamasco, Andrea Torsello:
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes. 3DIMPVT 2011: 252-259 - [c10]Andrea Torsello, Emanuele Rodolà, Andrea Albarelli:
Sampling Relevant Points for Surface Registration. 3DIMPVT 2011: 290-295 - [c9]Filippo Bergamasco, Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience. CVPR 2011: 113-120 - [c8]Andrea Torsello, Emanuele Rodolà, Andrea Albarelli:
Multiview registration via graph diffusion of dual quaternions. CVPR 2011: 2441-2448 - 2010
- [c7]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Robust Camera Calibration using Inaccurate Targets. BMVC 2010: 1-10 - [c6]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
A game-theoretic approach to fine surface registration without initial motion estimation. CVPR 2010: 430-437 - [c5]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Loosely Distinctive Features for Robust Surface Alignment. ECCV (5) 2010: 519-532 - [c4]Emanuele Rodolà, Andrea Albarelli, Andrea Torsello:
A Game-Theoretic Approach to Robust Selection of Multi-view Point Correspondence. ICPR 2010: 57-60 - [c3]Andrea Albarelli, Emanuele Rodolà, Alberto Cavallarin, Andrea Torsello:
Robust Figure Extraction on Textured Background: A Game-Theoretic Approach. ICPR 2010: 360-363 - [c2]Emanuele Rodolà, Andrea Albarelli, Andrea Torsello:
A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching. SSPR/SPR 2010: 354-364
2000 – 2009
- 2009
- [c1]Andrea Albarelli, Emanuele Rodolà, Samuel Rota Bulò, Andrea Torsello:
Fast 3D surface reconstruction by unambiguous compound phase coding. ICCV Workshops 2009: 1670-1677
Coauthor Index
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