PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight

Semi-NMF for cFos data

Simulations for BLiP paper.

Tools for conformal inference in regression

Quick lookup documents for commonly used tools

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

Pytorch implementation of β-VAE

Provable adversarial robustness at ImageNet scale

Fast and Easy Infinite Neural Networks in Python

A library for constrained optimization and manifold optimization for deep learning

Data Shapley: Equitable Valuation of Data for Machine Learning

Code for the NeurIPS 2019 paper: "Demystifying Black-box Models with Symbolic Metamodels", by A. M. Alaa and M. van der Schaar.

Demonstration of setting up continuous integration for a Python project

Metropolized knockoff sampling

Exploring the expressive power of neural networks with linearities constrained to the Steifel manifold.

Conformalized Quantile Regression

Counterfactual modeling, evaluation and fairness

Official git repository for Biopython (converted from CVS)

Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform

Efficient PyTorch Hessian eigendecomposition using the Hessian-vector product and stochastic power iteration

TensorFlow code and pre-trained models for BERT