Replication materials for inferring the causal effect of journals on citations
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Published by vtraag almost 5 years ago
DoWhy is a Python library for causal inference that supports explicit modeling and testing of cau...
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Domain Generalisation for ICU risk prediction models
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis w...
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Im...
Uplift modeling and causal inference with machine learning algorithms
End-to-end NLP tool to analyze research publications. Published in Ecology & Evolution 2021.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Data Augmentation with Variational Autoencoders (TPAMI)
Prediction and inference procedures for synthetic control methods with multiple treated units and...
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
The aim of auto-paper is to give you tips, tricks, and tools to accelerate your publication rate ...
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
3D predictive simulations of walking
