v1v2 (latest)

Delta-AI: Local objectives for amortized inference in sparse graphical models

3 October 2023

Nikolay Malkin

Guillaume Lajoie

Papers citing "Delta-AI: Local objectives for amortized inference in sparse graphical models"

27 / 27 papers shown

Title
Energy-based generator matching: A neural sampler for general state space Dongyeop Woo Minsu Kim Minkyu Kim Kiyoung Seong SungSoo Ahn 76 0 0 26 May 2025
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 456 7 0 02 Oct 2024
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 89 46 0 30 May 2023
GFlowNet-EM for learning compositional latent variable models J. E. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio CoGe 78 40 0 13 Feb 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories L. Pan Nikolay Malkin Dinghuai Zhang Yoshua Bengio 74 69 0 03 Feb 2023
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes Mizu Nishikawa-Toomey T. Deleu Jithendaraa Subramanian Yoshua Bengio Laurent Charlin BDL CML 62 29 0 04 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 219 68 0 02 Nov 2022
A Variational Perspective on Generative Flow Networks Heiko Zimmermann Fredrik Lindsten Jan-Willem van de Meent C. A. Naesseth 66 35 0 14 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 190 87 0 02 Oct 2022
Learning GFlowNets from partial episodes for improved convergence and stability Kanika Madan Jarrid Rector-Brooks Maksym Korablyov Emmanuel Bengio Moksh Jain A. Nica Tom Bosc Yoshua Bengio Nikolay Malkin 63 99 0 26 Sep 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 96 155 0 28 Feb 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Ziqiang Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 55 108 0 03 Feb 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 210 180 0 31 Jan 2022
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 22 9 0 25 Nov 2021
GFlowNet Foundations Yoshua Bengio Salem Lahlou T. Deleu J. E. Hu Mo Tiwari Emmanuel Bengio 61 236 0 17 Nov 2021
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface T. Le Katherine M. Collins Luke B. Hewitt Kevin Ellis N. Siddharth S. Gershman J. Tenenbaum 134 5 0 04 Jul 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 101 331 0 08 Jun 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions Will Grathwohl Kevin Swersky Milad Hashemi David Duvenaud Chris J. Maddison BDL 75 96 0 08 Feb 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 99 141 0 02 Dec 2020
Learning to learn generative programs with Memoised Wake-Sleep Luke B. Hewitt T. Le J. Tenenbaum CLL 48 27 0 06 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 648 18,096 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 422 10,591 0 17 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
AMASS: Archive of Motion Capture as Surface Shapes Naureen Mahmood N. Ghorbani N. Troje Gerard Pons-Moll Michael J. Black 3DH 48 1,252 0 05 Apr 2019
Tighter Variational Bounds are Not Necessarily Better Tom Rainforth Adam R. Kosiorek T. Le Chris J. Maddison Maximilian Igl Frank Wood Yee Whye Teh DRL 170 198 0 13 Feb 2018
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 273 1,245 0 01 Sep 2015
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 104 183 0 11 Jun 2014