Ellis, Kevin

33 publications

ICLR 2025 Combining Induction and Transduction for Abstract Reasoning Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis

CoRL 2025 LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis, Hao Tang, Thiago Veloso, Kevin Ellis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

NeurIPS 2025 PoE-World: Compositional World Modeling with Products of Programmatic Experts Wasu Top Piriyakulkij, Yichao Liang, Hao Tang, Adrian Weller, Marta Kryven, Kevin Ellis

ICML 2025 Position: Future Research and Challenges Remain Towards AI for Software Engineering Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama

ICLRW 2025 Programmatic Video Prediction Using Large Language Models Hao Tang, Kevin Ellis, Suhas Lohit, Michael J. Jones, Moitreya Chatterjee

ICLRW 2025 Tasks, Challenges, and Paths Towards AI for Software Engineering Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama

ICLRW 2025 Tasks, Challenges, and Paths Towards AI for Software Engineering Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Koushik Sen, Kevin Ellis, Armando Solar-Lezama

ICLRW 2025 Toward Trustworthy Neural Program Synthesis Wen-Ding Li, Darren Yan Key, Kevin Ellis

ICLR 2025 VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joao F. Henriques, Kevin Ellis

NeurIPS 2024 Code Repair with LLMs Gives an Exploration-Exploitation Tradeoff Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis

NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

NeurIPSW 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

NeurIPS 2024 Is Programming by Example Solved by LLMs? Wen-Ding Li, Kevin Ellis

CVPR 2024 Rapid Motor Adaptation for Robotic Manipulator Arms Yichao Liang, Kevin Ellis, João Henriques

NeurIPS 2024 WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment Hao Tang, Darren Key, Kevin Ellis

NeurIPSW 2023 Active Preference Inference Using Language Models and Probabilistic Reasoning Top Piriyakulkij, Volodymyr Kuleshov, Kevin Ellis

ICML 2023 From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang, Kevin Ellis

ICMLW 2023 From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang, Kevin Ellis

NeurIPS 2023 Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language Kevin Ellis

NeurIPS 2023 LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles A. Sutton

ICLR 2022 CrossBeam: Learning to Search in Bottom-up Program Synthesis Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton

ICLR 2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel Gershman, Joshua B. Tenenbaum

IJCAI 2022 Making Sense of Raw Input (Extended Abstract) Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot

AAAI 2022 Scaling Neural Program Synthesis with Distribution-Based Search Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Nayan Potta

NeurIPS 2020 Learning Abstract Structure for Drawing by Efficient Motor Program Induction Lucas Tian, Kevin Ellis, Marta Kryven, Josh Tenenbaum

NeurIPS 2020 Program Synthesis with Pragmatic Communication Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama

ICLR 2019 Learning to Infer and Execute 3D Shape Programs Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

NeurIPS 2019 Write, Execute, Assess: Program Synthesis with a REPL Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama

NeurIPS 2018 Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Josh Tenenbaum

NeurIPS 2018 Learning to Infer Graphics Programs from Hand-Drawn Images Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum

IJCAI 2017 Learning to Learn Programs from Examples: Going Beyond Program Structure Kevin Ellis, Sumit Gulwani

NeurIPS 2016 Sampling for Bayesian Program Learning Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum

NeurIPS 2015 Unsupervised Learning by Program Synthesis Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum