Ioana Bica's repositories
Counterfactual-Recurrent-Network
Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar
Time-Series-Deconfounder
Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar
Invariant-Causal-Imitation-Learning
Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar
HTCE-learners
Code for NeurIPS 2022 paper: "Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation" by I. Bica, M. van der Schaar
COVID-19-Brazil
Code for Lancet Global Health 2020 paper: "Ethnic and regional variation in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study" by Pedro Baqui, Ioana Bica, Valerio Marra, Ari Ercole and Mihaela van der Schaar
VAE-GeneExpression
Unsupervised neural methods for modelling cell differentiation
Multi-Omics-Data-Integration
Multi-omics data integration using cross-modal neural networks
Cambridge_DL4NLP
Cambridge Computer Lab 2018
clairvoyance
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
Histological-Classification
Histological classification of tumours using somatic mutation data