DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

15 June 2020

Papers citing "DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning"

34 / 34 papers shown

Title
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis Hao Tang Thiago Veloso Kevin Ellis Joshua B. Tenenbaum Tomás Lozano-Pérez Leslie Pack Kaelbling 74 0 0 04 May 2025
TurtleBench: A Visual Programming Benchmark in Turtle Geometry Sina Rismanchian Yasaman Razeghi Sameer Singh Shayan Doroudi 49 1 0 31 Oct 2024
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 64 4 0 18 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis Jipeng Han 39 0 0 02 Oct 2024
Intelligence Analysis of Language Models Liane Galanti Ethan Baron LRM 37 1 0 20 Jul 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 47 1 0 09 Jun 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations Bhishma Dedhia N. Jha OCL 54 1 0 02 Feb 2024
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 29 2 0 17 Oct 2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations Yudong Xu Wenhao Li Pashootan Vaezipoor Scott Sanner Elias Boutros Khalil LRM 31 54 0 26 May 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
On the Complexity of Bayesian Generalization Yuge Shi Manjie Xu J. Hopcroft Kun He J. Tenenbaum Song-Chun Zhu Ying Nian Wu Wenjuan Han Yixin Zhu 28 4 0 20 Nov 2022
ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications Alex Gu Tamara Mitrovska D. Vélez Jacob Andreas Armando Solar-Lezama SyDa 25 1 0 20 Oct 2022
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus Yudong Xu Elias Boutros Khalil Scott Sanner GNN 18 29 0 18 Oct 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks C. Capone P. Paolucci CLL 28 7 0 20 May 2022
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks K. M. Collins Catherine Wong Jiahai Feng Megan Wei J. Tenenbaum LRM 22 57 0 11 May 2022
Identifying concept libraries from language about object structure Catherine Wong William P. McCarthy Gabriel Grand Yoni Friedman J. Tenenbaum Jacob Andreas Robert D. Hawkins Judith E. Fan OCL 28 13 0 11 May 2022
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks Adish Singla Nikitas Theodoropoulos 28 13 0 03 May 2022
Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi Joey Hong Manzil Zaheer Pengcheng Yin Charles Sutton 37 5 0 07 Apr 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Explanatory Learning: Beyond Empiricism in Neural Networks Antonio Norelli Giorgio Mariani Luca Moschella Andrea Santilli Giambattista Parascandolo Simone Melzi Emanuele Rodolà 14 2 0 25 Jan 2022
Automated causal inference in application to randomized controlled clinical trials Ji Q. Wu N. Horeweg M. de Bruyn R. Nout I. Jürgenliemk-Schulz ... H. Nijman V. Smit T. Bosse C. Creutzberg V. Koelzer CML 26 14 0 15 Jan 2022
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 73 26 0 06 Dec 2021
ReaSCAN: Compositional Reasoning in Language Grounding Zhengxuan Wu Elisa Kreiss Desmond C. Ong Christopher Potts CoGe LRM 29 22 0 18 Sep 2021
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language Shuyan Zhou Pengcheng Yin Graham Neubig LM&Ro 14 1 0 16 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 30 128 0 21 Jul 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning Maxwell Nye Michael Henry Tessler J. Tenenbaum Brenden Lake 33 117 0 06 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 24 54 0 18 Jun 2021
Communicating Natural Programs to Humans and Machines Samuel Acquaviva Yewen Pu Marta Kryven Theo Sechopoulos Catherine Wong Gabrielle Ecanow Maxwell Nye Michael Henry Tessler J. Tenenbaum 33 40 0 15 Jun 2021
Engineering Sketch Generation for Computer-Aided Design Karl D. D. Willis P. Jayaraman Joseph G. Lambourne Hang Chu Yewen Pu 3DV 113 61 0 19 Apr 2021
Inferring CAD Modeling Sequences Using Zone Graphs Xianghao Xu Wenzhe Peng Chin-Yi Cheng Karl D. D. Willis Daniel E. Ritchie 3DPC AI4CE 27 65 0 30 Mar 2021
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions R. K. Jones Homer Walke Daniel E. Ritchie 28 24 0 25 Nov 2020
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017