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Simple, Distributed, and Accelerated Probabilistic Programming

Nov 29, 2018
Dustin Tran, Matthew Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul, Matthew Johnson, Rif A. Saurous

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Deep-learning the Latent Space of Light Transport

Nov 12, 2018
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski

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Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?

Oct 30, 2019
Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan

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Generative adversarial network-based image super-resolution using perceptual content losses

Sep 21, 2018
Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee

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Boosting Real-Time Driving Scene Parsing with Shared Semantics

Sep 25, 2019
Zhenzhen Xiang, Anbo Bao, Jie Li, Jianbo Su

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The ML-EM algorithm in continuum: sparse measure solutions

Sep 04, 2019
Camille Pouchol, Olivier Verdier

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IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI

Sep 25, 2019
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang

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Conditional out-of-sample generation for unpaired data using trVAE

Oct 30, 2019
Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf

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Carving out the low surface brightness universe with NoiseChisel

Sep 24, 2019
Mohammad Akhlaghi

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MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

Aug 12, 2019
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers

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