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ORCIDMaxwell I. Nye
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- affiliation: Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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2020 – today
- 2023
[c13]Belinda Z. Li, Maxwell I. Nye, Jacob Andreas:
Language Modeling with Latent Situations. ACL (Findings) 2023: 12556-12571- 2022
- [c12]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 - [i13]Belinda Z. Li, Maxwell I. Nye, Jacob Andreas:
Language Modeling with Latent Situations. CoRR abs/2212.10012 (2022) - 2021
- [c11]Belinda Z. Li, Maxwell I. Nye, Jacob Andreas:
Implicit Representations of Meaning in Neural Language Models. ACL/IJCNLP (1) 2021: 1813-1827 - [c10]Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum:
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci 2021 - [c9]Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
:
Representing Partial Programs with Blended Abstract Semantics. ICLR 2021 - [c8]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: 175-186 - [c7]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: 25192-25204 - [c6]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: 835-850 - [i12]Belinda Z. Li, Maxwell I. Nye, Jacob Andreas:
Implicit Representations of Meaning in Neural Language Models. CoRR abs/2106.00737 (2021) - [i11]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 abs/2106.07824 (2021) - [i10]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 abs/2107.02794 (2021) - [i9]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:
Program Synthesis with Large Language Models. CoRR abs/2108.07732 (2021) - [i8]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:
Show Your Work: Scratchpads for Intermediate Computation with Language Models. CoRR abs/2112.00114 (2021) - 2020
- [c5]Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake:
Learning Compositional Rules via Neural Program Synthesis. NeurIPS 2020 - [i7]Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake:
Learning Compositional Rules via Neural Program Synthesis. CoRR abs/2003.05562 (2020) - [i6]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 abs/2006.08381 (2020) - [i5]Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama:
Representing Partial Programs with Blended Abstract Semantics. CoRR abs/2012.12964 (2020)
2010 – 2019
- 2019
- [c4]Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning to Infer Program Sketches. ICML 2019: 4861-4870 - [c3]Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama:
Write, Execute, Assess: Program Synthesis with a REPL. NeurIPS 2019: 9165-9174 - [i4]Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning to Infer Program Sketches. CoRR abs/1902.06349 (2019) - [i3]Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama:
Write, Execute, Assess: Program Synthesis with a REPL. CoRR abs/1906.04604 (2019) - 2018
- [c2]Maxwell I. Nye, Andrew Saxe:
Are Efficient Deep Representations Learnable? ICLR (Workshop) 2018 - [c1]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: 988-997 - [i2]Maxwell I. Nye, Andrew Saxe:
Are Efficient Deep Representations Learnable? CoRR abs/1807.06399 (2018) - [i1]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 abs/1807.08919 (2018)
Coauthor Index
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