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Publication search results
found 1,135 matches
- 2024
- Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel:
Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR abs/2401.00736 (2024) - Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan, Anthony G. Scanlan, Pepijn van de Ven, Ciarán Eising:
Measuring Natural Scenes SFR of Automotive Fisheye Cameras. CoRR abs/2401.05232 (2024) - Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico:
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. CoRR abs/2401.05749 (2024) - Nils C. Prieur, Brian Amaro, Emiliano Gonzalez, Hannah Kerner, Sergei Medvedev, Lior Rubanenko, Stephanie C. Werner, Zhiyong Xiao, Dmitry Zastrozhnov, Mathieu G. A. Lapôtre:
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images. CoRR abs/2401.07528 (2024) - Subigya Nepal, Javier Hernandez, Talie Massachi, Kael Rowan, Judith Amores, Jina Suh, Gonzalo Ramos, Brian Houck, Shamsi T. Iqbal, Mary Czerwinski:
From User Surveys to Telemetry-Driven Agents: Exploring the Potential of Personalized Productivity Solutions. CoRR abs/2401.08960 (2024) - Hussam Habib, Ryan Stoldt, Andrew High, Brian Ekdale, Ashley M. Peterson, Katy Biddle, Javie Ssozi, Rishab Nithyanand:
Algorithmic amplification of biases on Google Search. CoRR abs/2401.09044 (2024) - Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia:
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. CoRR abs/2401.12168 (2024) - Irán R. Román, Christopher Ick, Sivan Ding, Adrian S. Roman, Brian McFee, Juan Pablo Bello:
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms. CoRR abs/2401.12238 (2024) - Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu:
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR abs/2401.12963 (2024) - Piyush Jha, Zhengyu Li, Zhengyang Lu, Curtis Bright, Vijay Ganesh:
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems. CoRR abs/2401.13770 (2024) - Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh:
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. CoRR abs/2401.15481 (2024) - Carlos A. Pereira, Brian C. Vermeire:
Hybridized Implicit-Explicit Flux Reconstruction Methods. CoRR abs/2401.16632 (2024) - Yifan Peng, Jinchuan Tian, William Chen, Siddhant Arora, Brian Yan, Yui Sudo, Muhammad Shakeel, Kwanghee Choi, Jiatong Shi, Xuankai Chang, Jee-weon Jung, Shinji Watanabe:
OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer. CoRR abs/2401.16658 (2024) - Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR abs/2402.00809 (2024) - Brian Homerding, Atmn Patel, Enrico Armenio Deiana, Yian Su, Zujun Tan, Ziyang Xu, Bhargav Reddy Godala, David I. August, Simone Campanoni:
The Parallel Semantics Program Dependence Graph. CoRR abs/2402.00986 (2024) - Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. CoRR abs/2402.01915 (2024) - Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber:
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. CoRR abs/2402.03838 (2024) - Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian McWilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Léonard Hussenot, Neil Zeghidour, Andrea Agostinelli:
MusicRL: Aligning Music Generation to Human Preferences. CoRR abs/2402.04229 (2024) - Fabio Andrijauskas, Igor Sfiligoi, Diego Davila, Aashay Arora, Jonathan Guiang, Brian Bockelman, Greg Thain, Frank Würthwein:
CRIU - Checkpoint Restore in Userspace for computational simulations and scientific applications. CoRR abs/2402.05244 (2024) - Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter:
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR abs/2402.07872 (2024) - Nazanin Bayati Chaleshtari, Yoann Marquer, Fabrizio Pastore, Lionel C. Briand:
AIM: Automated Input Set Minimization for Metamorphic Security Testing. CoRR abs/2402.10773 (2024) - Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi:
Materiality and Risk in the Age of Pervasive AI Sensors. CoRR abs/2402.11183 (2024) - Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR abs/2402.11450 (2024) - Shraddha Barke, Christian Pölitz, Carina Suzana Negreanu, Benjamin G. Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams:
Solving Data-centric Tasks using Large Language Models. CoRR abs/2402.11734 (2024) - Daniel Jakab, Brian Michael Deegan, Sushil Sharma, Eoin Martino Grua, Jonathan Horgan, Enda Ward, Pepijn van de Ven, Anthony G. Scanlan, Ciarán Eising:
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges. CoRR abs/2402.12041 (2024) - Zengqing Wu, Shuyuan Zheng, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Run Peng, Chuan Xiao:
Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents. CoRR abs/2402.12327 (2024) - Greg Olmschenk, Richard K. Barry, Stela Ishitani Silva, Brian P. Powell, Ethan Kruse, Jeremy D. Schnittman, Agnieszka M. Cieplak, Thomas Barclay, Siddhant Solanki, Bianca Ortega, John Baker, Yesenia Helem Salinas Mamani:
Short-Period Variables in TESS Full-Frame Image Light Curves Identified via Convolutional Neural Networks. CoRR abs/2402.12369 (2024) - Wei Zhang, Brian Barr, John Paisley:
Gaussian Process Neural Additive Models. CoRR abs/2402.12518 (2024) - Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman:
D-Flow: Differentiating through Flows for Controlled Generation. CoRR abs/2402.14017 (2024) - Jiahui Zhang, Runbo Jiang, Kangming Li, Pengyu Chen, Xiao Shang, Zhiying Liu, Jason Hattrick-Simpers, Brian J. Simonds, Qianglong Wei, Hongze Wang, Tao Sun, Anthony D. Rollett, Yu Zou:
Accurate predictions of keyhole depths using machine learning-aided simulations. CoRR abs/2402.16190 (2024)
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