Ryan R. Strauss

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Unsupervised Learning

Machine Learning Methods

Joint Distribution

Conditional Distribution

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Ryan R. Strauss, Junier B. Oliva
Any Variational Autoencoder Can Do Arbitrary Conditioning. CoRR (2022)
Ryan R. Strauss, Junier B. Oliva
Posterior Matching for Arbitrary Conditioning. NeurIPS (2022)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). IJCAI (2021)
Ryan R. Strauss, Junier B. Oliva
Arbitrary Conditional Distributions with Energy. CoRR (2021)
Ryan R. Strauss, Junier B. Oliva
Arbitrary Conditional Distributions with Energy. NeurIPS (2021)
Ryan R. Strauss, Raghuram Ramanujan, Andrew Becker, Tabitha C. Peck
A Steering Algorithm for Redirected Walking Using Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 26 (5) (2020)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). CoRR (2020)
Robert Solli, Daniel Bazin, Michelle P. Kuchera, Ryan R. Strauss, Morten Hjorth-Jensen
Unsupervised Learning for Identifying Events in Active Target Experiments. CoRR (2020)
Michelle P. Kuchera, Raghuram Ramanujan, Jack Z. Taylor, Ryan R. Strauss, Daniel Bazin, Joshua Bradt, Ruiming Chen
Machine Learning Methods for Track Classification in the AT-TPC. CoRR (2018)