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

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

3 October 2023

Nikolay Malkin

Dragos Secrieru

Thomas Jiralerspong

Guillaume Lajoie

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

6 / 6 papers shown

Title
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 52 2 0 02 Oct 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 26 7 0 02 Jun 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 184 53 0 02 Nov 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 130 77 0 02 Oct 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 165 0 31 Jan 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface T. Le K. M. Collins Luke B. Hewitt Kevin Ellis N. Siddharth S. Gershman J. Tenenbaum 105 5 0 04 Jul 2021