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ORCIDFrancesco Visin
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2020 – today
- 2025
[i16]Roberto-Rafael Maura-Rivero, Chirag Nagpal, Roma Patel, Francesco Visin:
Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models. CoRR abs/2501.06248 (2025)- [i15]Roberto-Rafael Maura-Rivero, Marc Lanctot, Francesco Visin, Kate Larson:
Jackpot! Alignment as a Maximal Lottery. CoRR abs/2501.19266 (2025) - [i14]Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini:
EmbeddingGemma: Powerful and Lightweight Text Representations. CoRR abs/2509.20354 (2025) - [i13]Biao Zhang, Paul Suganthan, Gaël Liu, Ilya Philippov, Sahil Dua, Ben Hora, Kat Black, Gus Martins, Omar Sanseviero, Shreya Pathak, Cassidy Hardin, Francesco Visin, Jiageng Zhang, Kathleen Kenealy, Qin Yin, Xiaodan Song, Olivier Lacombe, Armand Joulin, Tris Warkentin, Adam Roberts:
T5Gemma 2: Seeing, Reading, and Understanding Longer. CoRR abs/2512.14856 (2025) - 2021
- [i12]Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. CoRR abs/2101.08616 (2021) - 2020
- [c8]Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. CoRL 2020: 1415-1425 - [c7]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. ICLR 2020 - [c6]Jörg Bornschein, Francesco Visin, Simon Osindero:
Small Data, Big Decisions: Model Selection in the Small-Data Regime. ICML 2020: 1035-1044 - [i11]Jörg Bornschein, Francesco Visin, Simon Osindero:
Small Data, Big Decisions: Model Selection in the Small-Data Regime. CoRR abs/2009.12583 (2020) - [i10]Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, André Barreto, Razvan Pascanu:
Temporal Difference Uncertainties as a Signal for Exploration. CoRR abs/2010.02255 (2020)
2010 – 2019
- 2019
- [c5]Dushyant Rao, Francesco Visin, Andrei A. Rusu, Razvan Pascanu, Yee Whye Teh, Raia Hadsell:
Continual Unsupervised Representation Learning. NeurIPS 2019: 7645-7655 - [i9]Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Continual Unsupervised Representation Learning. CoRR abs/1910.14481 (2019) - 2018
- [i8]Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin:
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. CoRR abs/1806.05510 (2018) - 2017
- [b1]Francesco Visin:
Deep recurrent neural networks for visual scene understanding. Polytechnic University of Milan, Italy, 2017 - [c4]Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci:
Multi-view Stereo with Single-View Semantic Mesh Refinement. ICCV Workshops 2017: 706-715 - [c3]Çaglar Gülçehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio:
Mollifying Networks. ICLR (Poster) 2017 - [c2]Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville:
PixelVAE: A Latent Variable Model for Natural Images. ICLR (Poster) 2017 - [i7]Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci:
Multi-View Stereo with Single-View Semantic Mesh Refinement. CoRR abs/1708.04907 (2017) - 2016
- [c1]Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville:
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. CVPR Workshops 2016: 426-433 - [i6]Vincent Dumoulin, Francesco Visin:
A guide to convolution arithmetic for deep learning. CoRR abs/1603.07285 (2016) - [i5]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i4]Çaglar Gülçehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio:
Mollifying Networks. CoRR abs/1608.04980 (2016) - [i3]Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville:
PixelVAE: A Latent Variable Model for Natural Images. CoRR abs/1611.05013 (2016) - 2015
- [i2]Francesco Visin, Kyle Kastner, Kyunghyun Cho, Matteo Matteucci, Aaron C. Courville, Yoshua Bengio:
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks. CoRR abs/1505.00393 (2015) - [i1]Francesco Visin, Kyle Kastner, Aaron C. Courville, Yoshua Bengio, Matteo Matteucci, KyungHyun Cho:
ReSeg: A Recurrent Neural Network for Object Segmentation. CoRR abs/1511.07053 (2015)
Coauthor Index
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