Pinned Repositories
DHIM
source code 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
energy-discrepancy
NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
gradient_MCMC
visualising gradient based MCMC methods
OCM_DPM
Official Implementation for "Improving Probabilistic Diffusion Models With Optimal Covariance Matching"
RMwGGIS
Semantic-Hashing-Models
source code of baselines for paper "Refining BERT Embeddings for Document Hashing via Mutual Information Maximization"
SNUH
source code for paper "Integrating Semantics and Neighborhood Information with Graph-DrivenGenerative Models for Document Retrieval"
VBOT
deecamp2019 51组 虚拟形象机器人
EquiVSet
NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
J-zin's Repositories
J-zin/VBOT
deecamp2019 51组 虚拟形象机器人
J-zin/energy-discrepancy
NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
J-zin/DHIM
source code for paper "Refining BERT Embeddings for Document Hashing via Mutual Information Maximization"
J-zin/Semantic-Hashing-Models
source code of baselines for paper "Refining BERT Embeddings for Document Hashing via Mutual Information Maximization"
J-zin/RMwGGIS
J-zin/discrete-energy-discrepancy
NeurIPS'24: Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
J-zin/SNUH
source code for paper "Integrating Semantics and Neighborhood Information with Graph-DrivenGenerative Models for Document Retrieval"
J-zin/OCM_DPM
Official Implementation for "Improving Probabilistic Diffusion Models With Optimal Covariance Matching"
J-zin/gradient_MCMC
visualising gradient based MCMC methods
J-zin/J-zin.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
J-zin/shape-constraints-on-neural-network
J-zin/SNUH-mindspore
the mindspore implementation for paper "Integrating Semantics and Neighborhood Information with Graph-DrivenGenerative Models for Document Retrieval"