Estimating Cosmological Parameters from the Dark Matter Distribution. - Siamak Ravanbakhsh; Junier B. Oliva; Sebastian Fromenteau; Layne Price; Shirley Ho; Jeff G. Schneider; Barnabás Póczos (ICML, 2016)

Discovering Invariances in Healthcare Neural Networks. - Mohammad Taha Bahadori; Layne C. Price (CoRR, 2019)

Robust posterior inference when statistically emulating forward simulations. - Grigor Aslanyan; Richard Easther; Nathan Musoke; Layne C. Price (CoRR, 2020)

Variational Causal Inference. - Yulun Wu; Layne C. Price; Zichen Wang 002; Vassilis N. Ioannidis; George Karypis (CoRR, 2022)

Training self-supervised peptide sequence models on artificially chopped proteins. - Gil Sadeh; Zichen Wang 002; Jasleen Grewal; Huzefa Rangwala; Layne Price (CoRR, 2022)

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. - Yulun Wu; Robert A. Barton; Zichen Wang 002; Vassilis N. Ioannidis; Carlo De Donno; Layne C. Price; Luis F. Voloch; George Karypis (ICLR, 2023)

Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors. - Chaitra Hedge; Gezheng Wen; Layne C. Price (CoRR, 2023)