Learning Iterative Reasoning through Energy Diffusion

17 June 2024

Joshua B. Tenenbaum

Papers citing "Learning Iterative Reasoning through Energy Diffusion"

45 / 45 papers shown

Title
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Löwe Andreas Geiger Max Welling AI4CE 186 10 0 17 Oct 2024
Inferring Relational Potentials in Interacting Systems Armand Comas Massagu´e Yilun Du Christian Fernández S. Ghimire Octavia Camps J. Tenenbaum Mario Sznaier 89 5 0 23 Oct 2023
Compositional Diffusion-Based Continuous Constraint Solvers Zhutian Yang Jiayuan Mao Yilun Du Jiajun Wu J. Tenenbaum Tomás Lozano-Pérez L. Kaelbling DiffM 125 35 0 02 Sep 2023
NeurASP: Embracing Neural Networks into Answer Set Programming Zhun Yang Adam Ishay Joohyung Lee NAI 150 158 0 15 Jul 2023
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer Zhun Yang Adam Ishay Joohyung Lee 106 9 0 10 Jul 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability Xiaolin Fang Caelan Reed Garrett Clemens Eppner Tomás Lozano-Pérez L. Kaelbling Dieter Fox DiffM 108 17 0 22 Jun 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 349 1,242 0 07 Mar 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 127 148 0 22 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 80 132 0 16 Feb 2023
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil Ashwini Pokle Kaiqu Liang Johannes Treutlein Yuhuai Wu Shaojie Bai Zico Kolter Roger C. Grosse 60 17 0 18 Nov 2022
Learning Iterative Reasoning through Energy Minimization Yilun Du Shuang Li J. Tenenbaum Igor Mordatch PINN 88 25 0 30 Jun 2022
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 82 31 0 16 Dec 2021
PonderNet: Learning to Ponder Andrea Banino Jan Balaguer Charles Blundell PINN AIMat 157 83 0 12 Jul 2021
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks Avi Schwarzschild Eitan Borgnia Arjun Gupta Furong Huang U. Vishkin Micah Goldblum Tom Goldstein 89 77 0 08 Jun 2021
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning Pan Lu Ran Gong Shibiao Jiang Liang Qiu Siyuan Huang Xiaodan Liang Song-Chun Zhu AIMat LRM 76 243 0 10 May 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 126 144 0 02 Dec 2020
Integrated Task and Motion Planning Caelan Reed Garrett Rohan Chitnis Rachel Holladay Beomjoon Kim Tom Silver L. Kaelbling Tomás Lozano-Pérez 102 502 0 02 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 108 124 0 01 Oct 2020
Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen Chen Liang Adams Wei Yu Basel Alomair Denny Zhou BDL 70 101 0 15 Aug 2020
Learning to Stop While Learning to Predict Xinshi Chen H. Dai Yu Li Xin Gao Le Song OOD 76 47 0 09 Jun 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 157 81 0 10 Mar 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud R. Zemel 60 14 0 13 Feb 2020
Deep Equilibrium Models Shaojie Bai J. Zico Kolter V. Koltun 96 672 0 03 Sep 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 99 561 0 18 Jul 2019
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms Aida Amini Saadia Gabriel Shanchuan Lin Rik Koncel-Kedziorski Yejin Choi Hannaneh Hajishirzi AIMat ReLM AI4CE 132 581 0 30 May 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 81 248 0 30 May 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 83 265 0 29 May 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 134 250 0 26 Apr 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization Bryan Wilder B. Dilkina Milind Tambe OffRL AI4CE 80 302 0 14 Sep 2018
Universal Transformers Mostafa Dehghani Stephan Gouws Oriol Vinyals Jakob Uszkoreit Lukasz Kaiser 89 756 0 10 Jul 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 252 4,189 0 23 Jan 2018
Recurrent Relational Networks Rasmus Berg Palm Ulrich Paquet Ole Winther GNN ReLM NAI 119 142 0 21 Nov 2017
End-to-End Differentiable Proving Tim Rocktaschel Sebastian Riedel NAI 111 382 0 31 May 2017
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin Basel Alomair AI4CE LRM 84 147 0 21 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 173 972 0 01 Mar 2017
Adaptive Neural Networks for Efficient Inference Tolga Bolukbasi Joseph Wang O. Dekel Venkatesh Saligrama 66 357 0 25 Feb 2017
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 65 143 0 29 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 128 538 0 06 Sep 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 121 552 0 29 Mar 2016
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 105 320 0 10 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Neural GPUs Learn Algorithms Lukasz Kaiser Ilya Sutskever 96 370 0 25 Nov 2015
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 110 411 0 19 Nov 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,035 0 12 Mar 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 115 2,333 0 20 Oct 2014