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An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction


Aug 23, 2021
Mona Zehni, Zhizhen Zhao


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A FAIR and AI-ready Higgs Boson Decay Dataset


Aug 04, 2021
Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack

* 14 pages, 3 figures. Learn about the FAIR4HEP project at https://fair4hep.github.io 

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Spacetime Neural Network for High Dimensional Quantum Dynamics


Aug 04, 2021
Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark


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Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources


May 13, 2021
E. A. Huerta, Zhizhen Zhao

* 30 pages, 11 figures. Invited chapter to be published in "Handbook of Gravitational Wave Astronomy" 

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DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization


May 13, 2021
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing


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Joint Community Detection and Rotational Synchronization via Semidefinite Programming


May 13, 2021
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao


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Spatial-temporal switching estimators for imaging locally concentrated dynamics


Feb 19, 2021
Parisa Karimi, Mark Butala, Zhizhen Zhao, Farzad Kamalabadi


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MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning


Feb 18, 2021
Mona Zehni, Zhizhen Zhao


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UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction


Feb 09, 2021
Mona Zehni, Zhizhen Zhao


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Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models


Jan 18, 2021
Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark


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Adversarial Linear Contextual Bandits with Graph-Structured Side Observations


Dec 28, 2020
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao

* Accepted by AAAI2021 

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Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem


Dec 09, 2020
Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao

* To appear in AAAI 2021. arXiv admin note: text overlap with arXiv:2006.11116 

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Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms


Dec 16, 2019
Arjun Gupta, E. A. Huerta, Zhizhen Zhao, Issam Moussa

* 8 pages, 2 figures, 9 tables 

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Enabling real-time multi-messenger astrophysics discoveries with deep learning


Nov 26, 2019
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* Nature Reviews Physics volume 1, pages 600-608 (2019) 
* Invited Expert Recommendation for Nature Reviews Physics. The art work produced by E. A. Huerta and Shawn Rosofsky for this article was used by Carl Conway to design the cover of the October 2019 issue of Nature Reviews Physics 

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Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits


Oct 07, 2019
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao


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Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations


Jun 29, 2019
Yifeng Fan, Tingran Gao, Zhizhen Zhao


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Multi-Frequency Vector Diffusion Maps


Jun 06, 2019
Yifeng Fan, Zhizhen Zhao


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Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy


May 31, 2019
Tingran Gao, Yifeng Fan, Zhizhen Zhao

* 31 pages, 10 figures 

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Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps


Apr 16, 2019
Yifeng Fan, Zhizhen Zhao


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Max-Sliced Wasserstein Distance and its use for GANs


Apr 11, 2019
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing

* Accepted to CVPR 2019 

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Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders


Mar 06, 2019
Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao

* 5 pages, 11 figures and 3 tables, accepted to ICASSP 2019 

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Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers


Mar 05, 2019
Hongyu Shen, E. A. Huerta, Zhizhen Zhao

* 8 pages, 4 figures and 4 tables 

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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era


Feb 01, 2019
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, M. S. Neubauer, Steve Oberlin, Alexander R. Olivas Jr, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* 15 pages, no figures. White paper based on the "Deep Learning for Multi-Messenger Astrophysics: Real-time Discovery at Scale" workshop, hosted at NCSA, October 17-19, 2018 http://www.ncsa.illinois.edu/Conferences/DeepLearningLSST/ 

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LanczosNet: Multi-Scale Deep Graph Convolutional Networks


Jan 06, 2019
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel

* The International Conference on Learning Representations (ICLR) 2019 

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Steerable $e$PCA


Dec 20, 2018
Zhizhen Zhao, Lydia T. Liu, Amit Singer


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Real-time regression analysis with deep convolutional neural networks


May 07, 2018
E. A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen

* 3 pages. Position Paper accepted to SciML2018: DOE ASCR Workshop on Scientific Machine Learning. North Bethesda, MD, United States, January 30-February 1, 2018 

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