Sarah Pungitore's Projects
Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Deep Learning for Time Series Classification
We analyzed EHR data with two methods, LASSO-regularized linear regression and XGBoost classification trees, to predict intubation within the next 48 hours for patients hospitalized with COVID-19.
Code for AMIA 2023 Poster
Repository for the HiRID ICU Benchmark (HiB) project
PyTorch code to run synthetic experiments.
This is the project for IRM methods
OmniXAI: A Library for eXplainable AI
OpenXAI : Towards a Transparent Evaluation of Model Explanations
A web-based collaborative LaTeX editor
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Attention is all you need implementation
Config files for my GitHub profile.
Synthetic Patient Population Simulator
This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
A model-agnostic framework for explaining time-series classifiers using Shapley values