Pinned Repositories
ACE
Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
LessIsMoreICLR24
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
MMD-reg-OT
Code for our TMLR '24 Journal: MMD-Regularized UOT.
my-understanding-of-ML-Theory
OTAlign
Repository of ACL2023 paper: Unbalanced Optimal Transport for Unbalanced Word Alignment
sampling_diffusion
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (SBM@NeurIPS2022)
SEA-NN
Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.
Sparse-UOT
Code for our ICML '24 paper, "Submodular framework for structured-sparse optimal transport".
w2ot
Euclidean Wasserstein-2 optimal transportation
Piyushi-0's Repositories
Piyushi-0/my-understanding-of-ML-Theory
Piyushi-0/LessIsMoreICLR24
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
Piyushi-0/MMD-reg-OT
Code for our TMLR '24 Journal: MMD-Regularized UOT.
Piyushi-0/OTAlign
Repository of ACL2023 paper: Unbalanced Optimal Transport for Unbalanced Word Alignment
Piyushi-0/sampling_diffusion
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (SBM@NeurIPS2022)
Piyushi-0/SEA-NN
Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.
Piyushi-0/Sparse-UOT
Code for our ICML '24 paper, "Submodular framework for structured-sparse optimal transport".
Piyushi-0/w2ot
Euclidean Wasserstein-2 optimal transportation
Piyushi-0/ADM-ES
[ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'
Piyushi-0/condot
Supervised Training of Conditional Monge Maps
Piyushi-0/COT
Code for our AISTATS '24 paper: Consistent Optimal Transport with Empirical Conditional Measures.
Piyushi-0/DDPM-IP
[ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"
Piyushi-0/EMO
Official repository of the ICLR 2024 paper "EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling"(https://arxiv.org/abs/2310.04691)
Piyushi-0/FedOTP
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Piyushi-0/FedW
Implementation of FedBary
Piyushi-0/gradient
Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
Piyushi-0/GSOT
Python implementation of group sparse optimal transport
Piyushi-0/inVAE
Invariant Representation learning
Piyushi-0/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Piyushi-0/mimic_sepsis
Sepsis cohort from MIMIC dataset
Piyushi-0/MoE
Towards Understanding the Mixture-of-Experts Layer in Deep Learning
Piyushi-0/ott
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Piyushi-0/rethinking-minimax-fairness
Piyushi-0/salad
Optimal Transport Aggregation for Visual Place Recognition
Piyushi-0/shortest-path-diffusion
Official code for the paper "Image generation with shortest path diffusion" accepted at ICML 2023.
Piyushi-0/skills-publish-packages
My clone repository
Piyushi-0/sparsity-constrained-ot-demo
Piyushi-0/uotod
Unbalanced Optimal Transport: A Unified Framework for Object Detection
Piyushi-0/Wasserstein-Geodesic-Generator-for-Conditional-Distributions
Piyushi-0/WDP