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Dinghuai Zhang

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Rare Event Probability Learning by Normalizing Flows

Oct 29, 2023
Zhenggqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning

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PhyloGFN: Phylogenetic inference with generative flow networks

Oct 12, 2023
Mingyang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio

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Learning to Scale Logits for Temperature-Conditional GFlowNets

Oct 04, 2023
Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio

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Local Search GFlowNets

Oct 04, 2023
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

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Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization

Oct 04, 2023
Dinghuai Zhang, Ricky Tian Qi Chen, Cheng-Hao Liu, Aaron Courville, Yoshua Bengio

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

Oct 03, 2023
Jean-Pierre Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio

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Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets

Jun 27, 2023
Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang

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Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets

May 26, 2023
Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan

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Stochastic Generative Flow Networks

Feb 19, 2023
Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio

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Distributional GFlowNets with Quantile Flows

Feb 11, 2023
Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron Courville, Yoshua Bengio

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