Bias reformulation for one-shot function induction. - Dianhuan Lin; Eyal Dechter; Kevin Ellis; Joshua B. Tenenbaum; Stephen H. Muggleton (ECAI, 2014)

Dimensionality Reduction via Program Induction. - Kevin Ellis; Eyal Dechter; Joshua B. Tenenbaum (AAAI Spring Symposia, 2015)

Unsupervised Learning by Program Synthesis. - Kevin Ellis; Armando Solar-Lezama; Joshua B. Tenenbaum (NIPS, 2015)

Sampling for Bayesian Program Learning. - Kevin Ellis; Armando Solar-Lezama; Josh Tenenbaum 001 (NIPS, 2016)

Learning to Learn Programs from Examples: Going Beyond Program Structure. - Kevin Ellis; Sumit Gulwani (IJCAI, 2017)

Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction. - Kevin Ellis; Lucas Morales; Mathias Sablé-Meyer; Armando Solar-Lezama; Josh Tenenbaum 001 (NeurIPS, 2018)

Learning to Infer Graphics Programs from Hand-Drawn Images. - Kevin Ellis; Daniel Ritchie; Armando Solar-Lezama; Josh Tenenbaum 001 (NeurIPS, 2018)

Parking Lot Occupancy Tracking Through Image Processing. - Marcos Lopez; Terry Griffin 001; Kevin Ellis; Anthony Enem; Christopher Duhan (CATA, 2019)

Modeling Expertise with Neurally-Guided Bayesian Program Induction. - Catherine Wong; Kevin Ellis; Mathias Sablé-Meyer; Josh Tenenbaum 001 (CogSci, 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 001 (ICLR (Poster), 2019)

Write, Execute, Assess: Program Synthesis with a REPL. - Kevin Ellis; Maxwell I. Nye; Yewen Pu; Felix Sosa; Josh Tenenbaum 001; Armando Solar-Lezama (NeurIPS, 2019)

Program Synthesis with Pragmatic Communication. - Yewen Pu; Kevin Ellis; Marta Kryven; Josh Tenenbaum 001; Armando Solar-Lezama (NeurIPS, 2020)

Learning abstract structure for drawing by efficient motor program induction. - Lucas Yanan Tian; Kevin Ellis; Marta Kryven; Josh Tenenbaum 001 (NeurIPS, 2020)

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. - Kevin Ellis; Catherine Wong; Maxwell I. Nye; Mathias Sablé-Meyer; Luc Cary; Lucas Morales; Luke B. Hewitt; Armando Solar-Lezama; Joshua B. Tenenbaum (CoRR, 2020)

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. - Willem H. Zuidema; Robert M. French; Raquel G. Alhama; Kevin Ellis; Timothy J. O'Donnell; Tim Sainburg; Timothy Gentner (Top. Cogn. Sci., 2020)

Leveraging Language to Learn Program Abstractions and Search Heuristics. - Catherine Wong; Kevin Ellis; Joshua B. Tenenbaum; Jacob Andreas (ICML, 2021)

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. - Kevin Ellis; Catherine Wong; Maxwell I. Nye; Mathias Sablé-Meyer; Lucas Morales; Luke B. Hewitt; Luc Cary; Armando Solar-Lezama; Joshua B. Tenenbaum (PLDI, 2021)

Making sense of raw input. - Richard Evans 001; Matko Bosnjak; Lars Buesing; Kevin Ellis; David P. Reichert; Pushmeet Kohli; Marek J. Sergot (Artif. Intell., 2021)

Neurosymbolic Programming. - Swarat Chaudhuri; Kevin Ellis; Oleksandr Polozov; Rishabh Singh; Armando Solar-Lezama; Yisong Yue (Found. Trends Program. Lang., 2021)

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

Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. - Tuan Anh Le 001; Katherine M. Collins; Luke Hewitt; Kevin Ellis; Siddharth Narayanaswamy; Samuel Gershman; Joshua B. Tenenbaum (ICLR, 2022)

CrossBeam: Learning to Search in Bottom-Up Program Synthesis. - Kensen Shi; Hanjun Dai; Kevin Ellis; Charles Sutton (ICLR, 2022)

Making Sense of Raw Input (Extended Abstract). - Richard Evans 001; Matko Bosnjak; Lars Buesing; Kevin Ellis; David Pfau; Pushmeet Kohli; Marek J. Sergot (IJCAI, 2022)

Efficient Pragmatic Program Synthesis with Informative Specifications. - Saujas Vaduguru; Kevin Ellis; Yewen Pu (CoRR, 2022)

I Speak, You Verify: Toward Trustworthy Neural Program Synthesis. - Darren Key; Wen-Ding Li; Kevin Ellis (CoRR, 2022)

Top-Down Synthesis for Library Learning. - Matthew Bowers; Theo X. Olausson; Catherine Wong; Gabriel Grand; Joshua B. Tenenbaum; Kevin Ellis; Armando Solar-Lezama (CoRR, 2022)

DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search. - Théo Matricon; Nathanaël Fijalkow; Guillaume Lagarde; Kevin Ellis (J. Open Source Softw., 2022)

From Perception to Programs: Regularize, Overparameterize, and Amortize. - Hao Tang 008; Kevin Ellis (ICML, 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 Sutton (NeurIPS, 2023)

Modeling Human-like Concept Learning with Bayesian Inference over Natural Language. - Kevin Ellis (CoRR, 2023)

Active Preference Inference using Language Models and Probabilistic Reasoning. - Top Piriyakulkij; Volodymyr Kuleshov; Kevin Ellis (CoRR, 2023)

Top-Down Synthesis for Library Learning. - Matthew Bowers; Theo X. Olausson; Lionel Wong; Gabriel Grand; Joshua B. Tenenbaum; Kevin Ellis; Armando Solar-Lezama (Proc. ACM Program. Lang., 2023)

Rapid Motor Adaptation for Robotic Manipulator Arms. - Yichao Liang; Kevin Ellis; João F. Henriques (CVPR, 2024)

WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment. - Hao Tang 008; Darren Key; Kevin Ellis (NeurIPS, 2024)

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

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. - Top Piriyakulkij; Cassidy Langenfeld; Tuan Anh Le 001; Kevin Ellis (NeurIPS, 2024)

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. - Hao Tang 008; Keya Hu; Jin Zhou; Sicheng Zhong; Wei-Long Zheng; Xujie Si; Kevin Ellis (NeurIPS, 2024)

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. - Top Piriyakulkij; Kevin Ellis (CoRR, 2024)

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. - Hao Tang 008; Keya Hu; Jin Peng Zhou; Sicheng Zhong; Wei-Long Zheng; Xujie Si; Kevin Ellis (CoRR, 2024)

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 008; Michelangelo Naim; Dat Nguyen; Wei-Long Zheng; Zenna Tavares; et al. (CoRR, 2024)

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 008; Wei-Long Zheng; Yewen Pu; Kevin Ellis (ICLR, 2025)

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. - Yichao Liang; Nishanth Kumar; Hao Tang 008; Adrian Weller; Joshua B. Tenenbaum; Tom Silver; João F. Henriques; Kevin Ellis (ICLR, 2025)

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

Cognitive maps are generative programs. - Marta Kryven; Cole Wyeth; Aidan Curtis; Kevin Ellis (CoRR, 2025)

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation. - Aidan Curtis; Hao Tang 008; Thiago Veloso; Kevin Ellis; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

PoE-World: Compositional World Modeling with Products of Programmatic Experts. - Wasu Top Piriyakulkij; Yichao Liang; Hao Tang 008; Adrian Weller; Marta Kryven; Kevin Ellis (CoRR, 2025)

Programmatic Video Prediction Using Large Language Models. - Hao Tang; Kevin Ellis; Suhas Lohit; Michael J. Jones 001; Moitreya Chatterjee (CoRR, 2025)

Refactoring Codebases through Library Design. - Ziga Kovacic; Celine Lee; Justin T. Chiu; Wenting Zhao; Kevin Ellis (CoRR, 2025)

A Neuroscience-Inspired Dual-Process Model of Compositional Generalization. - Alex Noviello; Claas Beger; Jacob Groner; Kevin Ellis; Weinan Sun (CoRR, 2025)