Piyushi-0

ML student. Google PhD Fellow. Interests: {OT, OPT, SLT, RAI, AI4H}.

IIT Hyderabad

Pinned Repositories

ACE
Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
Language:Jupyter Notebook51 6 120
Fair-MAMAB
Code for our AAMAS '25 paper, 'Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness'.
Language:Jupyter Notebook01
LessIsMoreICLR24
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
Language:Jupyter Notebook1 0 00
MMD-reg-OT
Code for our TMLR '24 Journal: MMD-Regularized UOT.
Language:Python2 3 01
my-understanding-of-ML-Theory
6 1 00
OTAlign
Repository of ACL2023 paper: Unbalanced Optimal Transport for Unbalanced Word Alignment
Language:Python1 0 00
sampling_diffusion
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (SBM@NeurIPS2022)
Language:Python1 0 00
SEA-NN
Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.
Language:Jupyter Notebook1 1 01
Sparse-UOT
Code for our ICML '24 paper, "Submodular framework for structured-sparse optimal transport".
Language:Python2 3 01
w2ot
Euclidean Wasserstein-2 optimal transportation
Language:Python1 1 00

Piyushi-0/AI_Clinician
Reinforcement learning for medical decisions
Language:MATLAB00
Piyushi-0/igebm-pytorch
Implicit Generation and Generalization in Energy Based Models in PyTorch
Piyushi-0/kernel_reg
Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
Language:Python0 0
Piyushi-0/ntk_probing_public
Piyushi-0/some_PyTorch-CV_code
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Language:Jupyter Notebook0 0
Piyushi-0/wasserstein-barycenters
"Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu