Research
Publications
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- Date
 - Title
 - Simulacra as Conscious Exotica
 - Authors
 - Murray Shanahan
 - Venue
 - arXiv
 
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- Date
 - Title
 - Learning to Learn Faster from Human Feedback with Language Model Predictive Control
 - Authors
 - Ken Caluwaerts, Ben Jyenis, Jasmine Hsu, andyzeng , Wenhao Yu, Nik Stewart, Jacky Liang, Fei Xia, Peng Xu, Jie Tan, ichter , Erik Frey, Carolina Parada, Dorsa Sadigh, Tingnan Zhang, Ted Xiao, Zhuo Xu, Nikhil Joshi, Kuang-Huei Lee, Chase Kew, Ken Oslund, Sean Kirmani, Dushyant Rao, quanhovuong , Keerthana Gopalakrishnan, Marissa Giustina, Jonathan Tompson, Assaf Hurwitz Michaely, Baruch Tabanpour, Maria Bauza, Edward Lee, Maria Attarian, Leonard Hasenclever, Alex Bewley, Jan Humplik, Nimrod Gileadi, Joss Moore, Leila Takayama, allenren , Adil Dostmohamed, Chuyuan Kelly Fu, Ayzaan Wahid, Matt Bennice, Vincent Zhuang, Nicolas Heess, Izhak Shafran, Vincent Vanhoucke, Maja Mataric, Montse Gonzalez Arenas, Ying Xu, Kanishka Rao
 - Venue
 - arXiv
 
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- Date
 - Title
 - Experts Don't Cheat: Learning What You Don't Know by Predicting Pairs
 - Authors
 - Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison
 - Venue
 - arXiv
 
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- Date
 - Title
 - A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
 - Authors
 - Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer
 - Venue
 - arXiv
 
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- Date
 - Title
 - Premise Order Matters in Reasoning with Large Language Models
 - Authors
 - Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou
 - Venue
 - arXiv
 
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- Date
 - Title
 - A Distributional Analogue to the Successor Representation
 - Authors
 - Harley Wiltzer*, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto, Will Dabney, Marc Bellemare*, Mark Rowland
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Near-Minimax-Optimal Distributional RL with a Generative Model
 - Authors
 - Mark Rowland, Kevin Li, Remi Munos, Clare Lyle, Yunhao Tang, Will Dabney
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
 - Authors
 - 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*
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Chain-of-Table: Evolves Tables in the LLM Reasoning Chain for Table Understanding
 - Authors
 - Zilong Wang*, Chen-Yu Lee, chunliang , Hao Zhang, Julian Eisenschlos, Lesly Miculicich, Tomas Pfister, Vincent Perot, Yasuhisa Fujii, Zifeng Wang, Jingbo Shang*
 - Venue
 - ICLR 2024
 
 - 
        
- Date
 - Title
 - Memory Consolidation Enables Long-Context Video Understanding
 - Authors
 - Ivana Balazevic, Jimmy Shi, Nelly Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier Henaff
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
 - Authors
 - Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers
 - Authors
 - Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Large Language Models Self-Discover Reasoning Structures
 - Authors
 - Pei Zhou*, Jay Pujara*, Xiang Ren*, Swaroop Mishra, Steven Zheng, Denny Zhou, Heng-Tze Cheng, Quoc Le, Ed Chi, Xinyun Chen
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
 - Authors
 - Zhou Fan, Xinran Han, Zi Wang
 - Venue
 - Transactions on Machine Learning Research (TMLR)
 
 - 
        
- Date
 - Title
 - Fractal Patterns May Unravel the Intelligence in Next-Token Prediction
 - Authors
 - Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Exploration at Scale using Epistemic Neural Networks
 - Authors
 - Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Robust agents learn causal world models
 - Authors
 - Jonathan Richens, Tom Everitt
 - Venue
 - ICLR 2024
 
 - 
        
- Date
 - Title
 - Learning Universal Predictors
 - Authors
 - Jordi Grau-Moya *, Tim Genewein *, Marcus Hutter *, Laurent Orseau *, Grégoire Déletang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison and Joel Veness
 - Venue
 - arXiv
 
 - 
        
- Date
 - Title
 - Neural Population Learning beyond Symmetric Zero-Sum Games
 - Authors
 - Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Leibo, Nicolas Heess
 - Venue
 - AAMAS 2024
 
 - 
        
- Date
 - Title
 - E3x: E(3)-Equivariant Deep Learning Made Easy
 - Authors
 - Oliver Unke, Hartmut Maennel
 - Venue
 - arXiv