Zijing Ou

Awesome-Diffusion-Flow-Samplers. Collecting research materials on neural samplers with diffusion/flow models

VBOT. deecamp2019 51组 虚拟形象机器人

energy-discrepancy. NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models

OCM_DPM. ICLR'25 Oral: Improving Probabilistic Diffusion Models With Optimal Covariance Matching

DHIM. source code for paper "Refining BERT Embeddings for Document Hashing via Mutual Information Maximization"

Semantic-Hashing-Models. source code of baselines for paper "Refining BERT Embeddings for Document Hashing via Mutual Information Maximization"

discrete-energy-discrepancy. NeurIPS'24: Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

RMwGGIS. Python

SNUH. source code for paper "Integrating Semantics and Neighborhood Information with Graph-DrivenGenerative Models for Document Retrieval"

smc_ddm. Test-Time Alignment of Discrete Diffusion Models with Sequential Monte Carlo

DNFS. NeurIPS'25: Discrete Neural Flow Samplers with Locally Equivariant Transformer

smc_ddm_iclr. ICLR'26: Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design

gradient_MCMC. visualising gradient based MCMC methods