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Derek Hansen

2 accepted papers

2023

Learning Physical Models that Can Respect Conservation Laws

ICML 2023poster

Recent work in scientific machine learning (SciML) has focused on incorporating partial differential equation (PDE) information into the learning process. Much of this work has focused on relatively "easy'' PDE operators (e.g., elliptic and parabolic), with less emphasis on relatively ``hard'' PDE o…

2022

Normalizing Flows for Knockoff-free Controlled Feature Selection

NeurIPS 2022accept

Controlled feature selection aims to discover the features a response depends on while limiting the false discovery rate (FDR) to a predefined level. Recently, multiple deep-learning-based methods have been proposed to perform controlled feature selection through the Model-X knockoff framework. We d…