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

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

3 October 2023

Jean-Pierre Falet

Nikolay Malkin

Dragos Secrieru

Thomas Jiralerspong

Guillaume Lajoie

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

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Title
Energy-based generator matching: A neural sampler for general state space Dongyeop Woo Minsu Kim Minkyu Kim Kiyoung Seong SungSoo Ahn 93 0 0 26 May 2025
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 142 3 0 12 Oct 2024
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 478 7 0 02 Oct 2024
Bifurcated Generative Flow Networks Chunhui Li Cheng-Hao Liu Dianbo Liu Qingpeng Cai Ling Pan 157 3 0 04 Jun 2024
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 178 31 0 15 Feb 2024
Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim Joohwan Ko Taeyoung Yun Dinghuai Zhang Ling Pan W. Kim Jinkyoo Park Emmanuel Bengio Yoshua Bengio AI4CE 114 24 0 04 Oct 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim SungSoo Ahn Jinkyoo Park OffRL 103 7 0 02 Jun 2023