sulam-group Goto Github PK

adversarial-robust-supervised-sparse-coding

ai-deep-learning-lab-2023

assessing-saliency-maps

bigraph4tme

"Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns from Breast Multiplexed Digital Pathology"

deepsti-pytorch

eod-with-proxies

Code for Neurips 2023 paper "Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors"

groupmeetings

h-shap

h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations

ibydmt

"I Bet You Did Not Mean That (IBYDMT): Testing Semantic Importance via Betting"

k-rcps

"How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"

learned-proximal-networks

What's in a Prior? Learned Proximal Networks for Inverse Problems

lpcnn

mil-pathology

mil_ct

mil_ich

ml-ista

MultiLayer ISTA Networks

online-dictionary-learning-demo

osdl

Online Sparse Dictionary Learning

revisiting_chexnet_genderbias

shap-xrt

"SHAP-XRT: The Shapley Value Meets Conditional Independence Testing"

tcav_eeg

Implementation of Testing with Concept Activcation Vectors(TCAV) in a deep learning model trained for EEG-based Major Depressive Disorder (MDD) severity diagnosis

wavesep

xtc_syn_tracking