Are Efficient Deep Representations Learnable? - Maxwell I. Nye; Andrew Saxe (ICLR (Workshop), 2018)

The Variational Homoencoder: Learning to learn high capacity generative models from few examples. - Luke B. Hewitt; Maxwell I. Nye; Andreea Gane; Tommi S. Jaakkola; Joshua B. Tenenbaum (UAI, 2018)

Learning to Infer Program Sketches. - Maxwell I. Nye; Luke B. Hewitt; Joshua B. Tenenbaum; Armando Solar-Lezama (ICML, 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)

Learning Compositional Rules via Neural Program Synthesis. - Maxwell I. Nye; Armando Solar-Lezama; Josh Tenenbaum 001; Brenden M. Lake (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)

Implicit Representations of Meaning in Neural Language Models. - Belinda Z. Li; Maxwell I. Nye; Jacob Andreas (ACL/IJCNLP (1), 2021)

LARC: Language annotated Abstraction and Reasoning Corpus. - Samuel Acquaviva; Yewen Pu; Maxwell I. Nye; Catherine Wong; Michael Henry Tessler; Josh Tenenbaum 001 (CogSci, 2021)

Representing Partial Programs with Blended Abstract Semantics. - Maxwell I. Nye; Yewen Pu; Matthew Bowers; Jacob Andreas; Joshua B. Tenenbaum; Armando Solar-Lezama (ICLR, 2021)

A large-scale benchmark for few-shot program induction and synthesis. - Ferran Alet; Javier Lopez-Contreras; James Koppel; Maxwell I. Nye; Armando Solar-Lezama; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (ICML, 2021)

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. - Maxwell I. Nye; Michael Henry Tessler; Joshua B. Tenenbaum; Brenden M. Lake (NeurIPS, 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)

Program Synthesis with Large Language Models. - Jacob Austin; Augustus Odena; Maxwell I. Nye; Maarten Bosma; Henryk Michalewski; David Dohan; Ellen Jiang; Carrie J. Cai; Michael Terry; Quoc V. Le; Charles Sutton (CoRR, 2021)

Show Your Work: Scratchpads for Intermediate Computation with Language Models. - Maxwell I. Nye; Anders Johan Andreassen; Guy Gur-Ari; Henryk Michalewski; Jacob Austin; David Bieber; David Dohan; Aitor Lewkowycz; Maarten Bosma; David Luan; Charles Sutton; Augustus Odena (CoRR, 2021)

Communicating Natural Programs to Humans and Machines. - Samuel Acquaviva; Yewen Pu; Marta Kryven; Theodoros Sechopoulos; Catherine Wong; Gabrielle E. Ecanow; Maxwell I. Nye; Michael Henry Tessler; Josh Tenenbaum 001 (NeurIPS, 2022)

Language Modeling with Latent Situations. - Belinda Z. Li; Maxwell I. Nye; Jacob Andreas (ACL (Findings), 2023)