Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors.
CoRR, 2023
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Training self-supervised peptide sequence models on artificially chopped proteins.
CoRR, 2022
Variational Causal Inference.
CoRR, 2022
Robust posterior inference when statistically emulating forward simulations.
CoRR, 2020
Discovering Invariances in Healthcare Neural Networks.
CoRR, 2019
Estimating Cosmological Parameters from the Dark Matter Distribution.
Proceedings of the 33nd International Conference on Machine Learning, 2016