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van_der_Schaar \LAB's Projects

neurallaplace icon neurallaplace

Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

organsync icon organsync

Synthetic Control for high dimensional individual treatment effects

prompt-oirl icon prompt-oirl

code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning

robustxai icon robustxai

This repository contains the implementation of the explanation invariance and equivariance metrics, a framework to evaluate the robustness of interpretability methods.

sefs icon sefs

Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates

simplex icon simplex

This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.

sscp icon sscp

SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning

survivalgan icon survivalgan

SurvivalGAN: Generating Time-to-Event Data for Survival Analysis

symbolic-pursuit icon symbolic-pursuit

Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"

syntax icon syntax

Adaptive Experiment Design with Synthetic Controls

synthcity icon synthcity

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

synthcity-benchmark icon synthcity-benchmark

This is the repository for "Synthcity: a benchmark framework for diverse use cases of tabular synthetic data".

synthetic-data-lab icon synthetic-data-lab

A repository containing the materials required to complete the "AAAI Lab for Innovative Uses of Synthetic Data". This includes tutorials on how to use the library "Synthcity" for improving the fairness and privacy of a dataset as well as for augmenting a small dataset using some other similar datasets.

synthetic-model-combination icon synthetic-model-combination

Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning (NeurIPS 2022) by Alex J. Chan and Mihaela van der Schaar.

tangos icon tangos

Implementation of Tabular Neural Gradient Orthogonalization and Specialization (TANGOS). A regularizer for neural networks described in our ICLR 2023 paper.

te-cde icon te-cde

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

temporai icon temporai

TemporAI: ML-centric Toolkit for Medical Time Series

temporai-clinic icon temporai-clinic

Interactive web app for prototyping ML for medicine and healthcare in the real world

temporai-mivdp icon temporai-mivdp

TemporAI-MIVDP: Adaptation of MIMIC-IV-Data-Pipeline for TemporAI

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