Publications
* denotes equal contribution.
NeurIPS 2023, Oral | 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 |
ICML 2023 | From Perception to Programs: Regularize, Overparameterize, and Amortize | Hao Tang, Kevin Ellis |
POPL 2023 | Top-Down Synthesis For Library Learning | Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama |
Cognitive Psychology 2023 | A language of thought for the mental representation of geometric shapes | Mathias Sablé-Meyer, Kevin Ellis, Josh Tenenbaum, Stanislas Dehaene |
Nature Communications 2022 | Synthesizing theories of human language with Bayesian program induction | Kevin Ellis, Adam Albright, Armando Solar-Lezama, Joshua B. Tenenbaum, Timothy J. O’Donnell |
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 J. Gershman, Joshua B. Tenenbaum |
AAAI 2022 | Scaling Neural Program Synthesis with Distribution-based Search | Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Potta |
PLDI 2021 | DreamCoder: Bootstrapping Inductive Program Synthesis with Wake-Sleep Library Learning | Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer, Lucas Morales, Luke Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum |
FnT in Programming Languages 2021 | Neurosymbolic Programming | Swarat Chaudhuri, Kevin Ellis, Oleksandr Polozov, Rishabh Singh, Armando Solar-Lezama, Yisong Yue |
Artificial Intelligence 2021 | Making sense of raw input | Richard Evans, Matko Bošnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek Sergot |
ICML 2021 | Leveraging natural language for program search and abstraction learning | Catherine Wong, Kevin Ellis, Josh Tenenbaum, Jacob Andreas |
CogSci 2021 | Phonological Interactions, Process Types, and Minimum Description Length Principles | Christopher Yang, Kevin Ellis |
NeurIPS 2020, Oral | Learning abstract structure for drawing by efficient motor program induction | Lucas Y. Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum |
NeurIPS 2020 | Program Synthesis with Pragmatic Communication | Yewen Pu, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum, Armando Solar-Lezama |
NeurIPS 2019 | Write, Execute, Assess: Program Synthesis with a REPL | Kevin Ellis*, Maxwell Nye*, Yewen Pu*, Felix Sosa*, Joshua B. 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 |
Topics in Cognitive Science 2019 | Five ways in which computational modeling can help advance cognitive science: lessons from Artificial Grammar Learning | Willem Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Tim O’Donnell, Tim Sainburgh, Tim Gentner |
NeurIPS 2018, Spotlight | Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction | Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Joshua B. Tenenbaum |
NeurIPS 2018, Spotlight | Learning to Infer Graphics Programs from Hand-Drawn Images | Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Joshua B. 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, Joshua B. Tenenbaum |
NeurIPS 2015 | Unsupervised Learning by Program Synthesis | Kevin Ellis, Armando Solar-Lezama, Joshua B. Tenenbaum |
AAAI Symposium 2015 | Dimensionality Reduction via Program Induction | Kevin Ellis, Eyal Dechter, Joshua B. Tenenbaum. At the AAAI Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches |
ECAI 2014 | Bias reformulation for one-shot function induction | Dianhuan Lin, Eyal Dechter, Kevin Ellis, Joshua B. Tenenbaum, Stephen Muggleton |