Maxwell I. Nye

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Program Synthesis

Top Venues

Publications

Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
Language Modeling with Latent Situations. ACL (Findings) (2023)
Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
Language Modeling with Latent Situations. CoRR (2022)
Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum
Communicating Natural Programs to Humans and Machines. NeurIPS (2022)
Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
Representing Partial Programs with Blended Abstract Semantics. ICLR (2021)
Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci (2021)
Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum
DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. PLDI (2021)
Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
Implicit Representations of Meaning in Neural Language Models. ACL/IJCNLP (1) (2021)
Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
Implicit Representations of Meaning in Neural Language Models. CoRR (2021)
Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. NeurIPS (2021)
Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. CoRR (2021)
Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
A large-scale benchmark for few-shot program induction and synthesis. ICML (2021)
Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum
Communicating Natural Programs to Humans and Machines. CoRR (2021)
Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
Representing Partial Programs with Blended Abstract Semantics. CoRR (2020)
Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake
Learning Compositional Rules via Neural Program Synthesis. CoRR (2020)
Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake
Learning Compositional Rules via Neural Program Synthesis. NeurIPS (2020)
Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke B. Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. CoRR (2020)
Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
Write, Execute, Assess: Program Synthesis with a REPL. CoRR (2019)
Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama
Learning to Infer Program Sketches. ICML (2019)
Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama
Learning to Infer Program Sketches. CoRR (2019)
Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
Write, Execute, Assess: Program Synthesis with a REPL. NeurIPS (2019)
Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. CoRR (2018)
Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. UAI (2018)