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ace

Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.

adm-es

[ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'

agglio

Accelerated Graduated Generalized Linear-model Optimization

ai_clinician

Reinforcement learning for medical decisions

awesome-kernels-for-ml

A list of awesome papers and cool resources on Kernel Methods applied in Machine Learning!

banditq_uai24

Implementation of the BanditQ policy described in our UAI 2024 paper (https://www.tifr.res.in/~abhishek.sinha/files/BanditQ_UAI24.pdf)

cellot

Learning Single-Cell Perturbation Responses using Neural Optimal Transport

ckn_kernel

computation of convolutional kernels (CKN and NTK) in C++

conditional-wasserstein-generator

condot

Supervised Training of Conditional Monge Maps

coot

CO-Optimal Transport

copt

[NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs

cot

Code for our AISTATS '24 paper: Consistent Optimal Transport with Empirical Conditional Measures.

cpa

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dcfr

Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".

ddpm-ip

[ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"

disentanglement

Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology

emo

Official repository of the ICLR 2024 paper "EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling"(https://arxiv.org/abs/2310.04691)

fedlf

fedotp

Global and Local Prompts Cooperation via Optimal Transport for Federated Learning

fedw

Implementation of FedBary

gdl

Code for Online Graph Dictionary Learning

generalizable-mixture-of-experts

GMoE could be the next backbone model for many kinds of generalization task.

gradient

Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.

gsot

Python implementation of group sparse optimal transport

h-divergence

iclr2020-cfair

igebm-pytorch

Implicit Generation and Generalization in Energy Based Models in PyTorch

invae

Invariant Representation learning