Dinghuai Zhang

Affiliations

Mila

papers

612

total citations

papers (11)

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

NEURIPS 2021arXiv

325

citations

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

NEURIPS 2020arXiv

citations

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

ICLR 2024arXiv

citations

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets

ICLR 2025arXiv

citations

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

CVPR 2025arXiv

citations

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

ICLR 2024arXiv

citations

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

CVPR 2023arXiv

citations

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

NEURIPS 2023

citations

Dinghuai Zhang

Affiliations

papers (11)

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

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

Local Search GFlowNets

Learning to Scale Logits for Temperature-Conditional GFlowNets

PhyloGFN: Phylogenetic inference with generative flow networks

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

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

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

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

papers (11)

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

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

Local Search GFlowNets

Learning to Scale Logits for Temperature-Conditional GFlowNets

PhyloGFN: Phylogenetic inference with generative flow networks

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

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

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

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets