zdhNarsil/GFlowNet-CombOpt
PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".
Researcher. Previously @ Mila & @ Peking University.
Repositories
zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
zdhNarsil/zdhNarsil.github.io
Home page for Dinghuai Zhang
zdhNarsil/haidian
zdhNarsil/Diffusion-Generative-Flow-Samplers
PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization"
zdhNarsil/verl
verl: Volcano Engine Reinforcement Learning for LLMs
zdhNarsil/Distributional-GFlowNets
Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".
zdhNarsil/flash-rl-plot
zdhNarsil/cifar
95.22% accuracy resnet18 classifier for cifar10. (88.32% clean accuracy when trained with fm noisy input)
zdhNarsil/Stochastic-Marginal-Actor-Critic
Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
zdhNarsil/Margin-Boosting
Code for our paper "Building Robust Ensembles via Margin Boosting" (ICML 2022)
zdhNarsil/Convex-Optimization-Course-Project
The project for Convex Optimization (2018 Fall PKU)
zdhNarsil/Bayesian-Statistics-Course-Project
The project for Bayesian Statistics (2019 Spring PKU)
zdhNarsil/Statistical-Learning-Course-Project
The project for Statistical Learning (2018 Fall)
zdhNarsil/Deep-Learning-Team-Project
The project for Deep Learning: Algorithms and Applications (2018 Spring PKU)
zdhNarsil/ToolsSeminar
Seminar on Selected Tools