Research
Publications
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- Date
 - Title
 - A Definition of Continual Reinforcement Learning
 - Authors
 - David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Optimal Preconditioning and Fisher Adaptive Langevin Sampling
 - Authors
 - Michalis Titsias
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Passive learning of active causal strategies in agents and language models
 - Authors
 - Andrew Lampinen, Stephanie Chan, Ishita Dasgupta, Andrew Nam, Jane Wang
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
 - Authors
 - Kensen Shi, Hanjun Dai, Wen-Ding Li*, Kevin Ellis*, Charles Sutton
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Improving neural network representations using human similarity judgments
 - Authors
 - Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew Lampinen, Simon Kornblith
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
 - Authors
 - Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Towards In-context Scene Understanding
 - Authors
 - Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier Henaff
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Optimization and Evaluation of Fine-grained Jaccard Indexes for Semantic Segmentation
 - Authors
 - Zifu Wang*, Maxim Berman*, Amal Rannen-Triki, Philip H.S. Torr*, Devis Tuia*, Tinne Tuytelaars*, Luc Van Gool*, Jiaqian Yu*, Matthew Blaschko*
 - Venue
 - NeurIPS 2023 Datasets and Benchmarks
 
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- Date
 - Title
 - Probabilistic Inference in Reinforcement Learning Done Right
 - Authors
 - Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue
 - Venue
 - NeurIPS 2023
 
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- Date
 - Title
 - Benchmarking Robustness to Adversarial Image Obfuscations
 - Authors
 - Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
 - Venue
 - NeurIPS 2023 Datasets and Benchmarks
 
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- 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
 
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- 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
 
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- 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
 
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- Date
 - Title
 - A Benchmark for Reasoning with Spatial Prepositions
 - Authors
 - Iulia Comșa, Srini Narayanan
 - Venue
 - EMNLP 2023
 
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- 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
 
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- 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
 
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- 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
 
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- 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)
 
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- Date
 - Title
 - Small batch deep reinforcement learning
 - Authors
 - Johan Obando Ceron, Marc G. Bellemare*, Pablo Castro Rivadeneira
 - Venue
 - NeurIPS 2023