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Ryan R. Strauss
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2020 – today
- 2022
- [c3]Ryan R. Strauss, Junier B. Oliva:
Posterior Matching for Arbitrary Conditioning. NeurIPS 2022 - [i5]Ryan R. Strauss, Junier B. Oliva:
Any Variational Autoencoder Can Do Arbitrary Conditioning. CoRR abs/2201.12414 (2022) - 2021
- [c2]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: 2126-2132 - [c1]Ryan R. Strauss, Junier B. Oliva:
Arbitrary Conditional Distributions with Energy. NeurIPS 2021: 752-763 - [i4]Ryan R. Strauss, Junier B. Oliva:
Arbitrary Conditional Distributions with Energy. CoRR abs/2102.04426 (2021) - 2020
- [j1]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): 1955-1963 (2020) - [i3]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 abs/2001.11103 (2020) - [i2]Robert Solli, Daniel Bazin, Michelle P. Kuchera
, Ryan R. Strauss
, Morten Hjorth-Jensen:
Unsupervised Learning for Identifying Events in Active Target Experiments. CoRR abs/2008.02757 (2020)
2010 – 2019
- 2018
- [i1]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 abs/1810.10350 (2018)
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