Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 paper "Avoiding Leakage Poisoning"
CausalFlow: a Unified Framework for Causality in Time-Series
Medical action ontology
PyC (Pytorch Concepts) is a PyTorch-based library for training concept-based interpretable deep learning models.
Why And What If: Causal Inference for Everyone
The codebase for Inducing Causal Structure for Interpretable Neural Networks
DataCurator enables you to map and understand complex systems before helping you plan, communicate and navigate successful interventions in them.
Global Health Policy Simulation model (Health-GPS)
Analysis and predictions about student success in online learning
Adoption and impact of non-pharmaceutical interventions for COVID-19
The action tracker is a management tool that helps improve effective coverage of priority interventions at district and community level, covering various interventions such as maternal, newborn, and child health (MNCH), HIV, and nutrition.
[WWW 2023] Official code release for "Dynamic Interventions for Networked Contagions"
LIF is an open-source research framework for onchain governance and protocol safety.
This robotic interactive system, TIAGoGPT is an MSc research project on "Exploring the Potentials of LLMs in TIAGo Robot-Assisted Interventions to Support Children with Social Skill Difficulties". The project implements cutting-edge technologies to revolutionise the field of child support. We employed state-of-the-art large language models in robot
Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019
LLM-based scholar recommendation auditing
This work explores training Backpack LMs on parallel French-English corpora to efficiently handle polysemy in multilingual contexts.
biology / medicine / health papers organized in markdown files
This code is written for study "The Interaction between Population Age Structure and Policy Interventions on the Spread of COVID-19"
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