Replication materials for inferring the causal effect of journals on citations
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Domain Generalisation for ICU risk prediction models
Data Augmentation with Variational Autoencoders (TPAMI)
Uplift modeling and causal inference with machine learning algorithms
End-to-end NLP tool to analyze research publications. Published in Ecology & Evolution 2021.
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
The aim of auto-paper is to give you tips, tricks, and tools to accelerate your publication rate ...
DoWhy is a Python library for causal inference that supports explicit modeling and testing of cau...
3D predictive simulations of walking
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Im...
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis w...
Prediction and inference procedures for synthetic control methods with multiple treated units and...
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations