Research
Publications
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- Date
- Title
- Optimal Preconditioning and Fisher Adaptive Langevin Sampling
- Authors
- Michalis Titsias
- Venue
- NeurIPS 2023
-
- Date
- Title
- Distributional Bellman Operators over Mean-embeddings
- Authors
- Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland
- Venue
- arXiv
-
- Date
- Title
- POMRL: No-Regret Learning-to-Plan with IncreasingHorizons
- Authors
- Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
- Venue
- NeurIPS Workshop 2023
-
- Date
- Title
- Revisiting Dynamic Evaluation:Online Adaptation for LLMs
- Authors
- Amal Rannen-Triki, Jörg Bornschein, Alexandre Galashov, Razvan Pascanu, Michalis Titsias, Marcus Hutter, Andras Gyorgy, Yee Whye Teh
- Venue
- DistShift-NeurIPS 23
-
- Date
- Title
- Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
- Authors
- Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A. Duéñez-Guzmán, William A. Cunningham, Simon Osindero, Danny Karmon, Joel Z. Leibo
- Venue
- arXiv
-
- Date
- Title
- MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework
- Authors
- You-Jun Chen*, Hsin-Yi Hsieh*, Yu-Tung Lin*, Yingtao Tian, Bert Chan, Yu-Sin Liu*, Yi-Hsuan Lin*, Richard Tzong-Han Tsai*
- Venue
- EMNLP 2023
-
- Date
- Title
- SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
- Authors
- Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur Parikh
- Venue
- EMNLP 2023
-
- Date
- Title
- A Benchmark for Reasoning with Spatial Prepositions
- Authors
- Iulia Comșa, Srini Narayanan
- Venue
- EMNLP 2023
-
- Date
- Title
- Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
- Authors
- Zi Wang, Alexander Ku, Jason Baldridge, Thomas L. Griffiths, Been Kim
- Venue
- NeurIPS 2023
-
- Date
- Title
- RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
- Authors
- Yuxiang Zhou, Todor Davchev, Maria Bauza, Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex Lee
- Venue
- Transactions on Machine Learning Research (TMLR)
-
- Date
- Title
- Small batch deep reinforcement learning
- Authors
- Johan Obando Ceron, Marc G. Bellemare*, Pablo Castro Rivadeneira
- Venue
- NeurIPS 2023
-
- Date
- Title
- RLHF and IIA: Perverse Incentives
- Authors
- Wanqiao Xu*, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
- Venue
- arXiv
-
- Date
- Title
- Accelerating Neural Field Training via Langevin Monte-Carlo Sampling
- Authors
- Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
- Venue
- CVPR 2024
-
- Date
- Title
- Unsupervised Keypoints with Stable Diffusion
- Authors
- Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
- Venue
- CVPR 2024
-
- Date
- Title
- Universal Self-Consistency with Large Language Models
- Authors
- Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
- Venue
- arXiv
-
- Date
- Title
- SODA: Bottleneck Diffusion Models for Representation Learning
- Authors
- Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew Lampinen, Drew Jaegle, Jay Mcclelland, Loic Matthey, Felix Hill, Alexander Lerchner
- Venue
- CVPR 2024
-
- Date
- Title
- Replay Across Experiments
- Authors
- Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier
- Venue
- arXiv
-
- Date
- Title
- Scalable AI Safety via Doubly-Efficient Debate
- Authors
- Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras
- Venue
- arXiv
-
- Date
- Title
- No agent is an island: A social path to human-like artificial intelligence
- Authors
- Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
- Venue
- Nature Machine Intelligence
-
- Date
- Title
- GraphCast: Learned Global Weather Forecasting
- Authors
- Remi Lam, Alvaro Sanchez, Matthew Willson, Meire Fortunato, Peter Wirnsberger, Alexander Pritzel, Timo Ewalds, Zach Eaton-Rosen, Ferran Alet, Jacklynn Stott, Shakir Mohamed, ravuris , Oriol Vinyals, George Holland
- Venue
- Science