Machine Learning Methods for Track Classification in the AT-TPC. - Michelle P. Kuchera; Raghuram Ramanujan; Jack Z. Taylor; Ryan R. Strauss; Daniel Bazin; Joshua Bradt; Ruiming Chen (CoRR, 2018)

Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). - Yasir Alanazi; Nobuo Sato; Tianbo Liu 004; W. Melnitchouk; Michelle P. Kuchera; Evan Pritchard; Michael Robertson; Ryan R. Strauss; Luisa Velasco; Yaohang Li (CoRR, 2020)

Unsupervised Learning for Identifying Events in Active Target Experiments. - Robert Solli; Daniel Bazin; Michelle P. Kuchera; Ryan R. Strauss; Morten Hjorth-Jensen (CoRR, 2020)

A Steering Algorithm for Redirected Walking Using Reinforcement Learning. - Ryan R. Strauss; Raghuram Ramanujan; Andrew Becker; Tabitha C. Peck (IEEE Trans. Vis. Comput. Graph., 2020)

Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). - Yasir Alanazi; Nobuo Sato; Tianbo Liu 004; Wally Melnitchouk; Pawel Ambrozewicz; Florian Hauenstein; Michelle P. Kuchera; Evan Pritchard; Michael Robertson; Ryan R. Strauss; Luisa Velasco; Yaohang Li (IJCAI, 2021)

Arbitrary Conditional Distributions with Energy. - Ryan R. Strauss; Junier B. Oliva (NeurIPS, 2021)

Posterior Matching for Arbitrary Conditioning. - Ryan R. Strauss; Junier B. Oliva (NeurIPS, 2022)

Any Variational Autoencoder Can Do Arbitrary Conditioning. - Ryan R. Strauss; Junier B. Oliva (CoRR, 2022)