Layne Price

According to our database, Layne Price authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors.

Chaitra Hedge, Gezheng Wen, Layne C. Price

CoRR, 2023

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.

Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Training self-supervised peptide sequence models on artificially chopped proteins.

Gil Sadeh, Zichen Wang, Jasleen Grewal, Huzefa Rangwala, Layne Price

CoRR, 2022

Variational Causal Inference.

Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis

CoRR, 2022

2020

Robust posterior inference when statistically emulating forward simulations.

Grigor Aslanyan, Richard Easther, Nathan Musoke, Layne C. Price

CoRR, 2020

2019

Discovering Invariances in Healthcare Neural Networks.

Mohammad Taha Bahadori, Layne C. Price

CoRR, 2019

2016

Estimating Cosmological Parameters from the Dark Matter Distribution.

Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos

Proceedings of the 33nd International Conference on Machine Learning, 2016