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Massimiliano Lupo Pasini

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DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Oct 11, 2023
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi Hanson, Thomas E Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin Aji, Angela Dalton, Michael Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

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A deep learning approach to solve forward differential problems on graphs

Oct 07, 2022
Yuanyuan Zhao, Massimiliano Lupo Pasini

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A deep learning approach for detection and localization of leaf anomalies

Oct 07, 2022
Davide Calabrò, Massimiliano Lupo Pasini, Nicola Ferro, Simona Perotto

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Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks

Jul 25, 2022
Massimiliano Lupo Pasini, Junqi Yin

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Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules

Jul 22, 2022
Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew Blanchard, Massimiliano Lupo Pasini

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Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data

Apr 01, 2022
Massimiliano Lupo Pasini, Simona Perotto

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Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

Feb 04, 2022
Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve, Jong Youl Choi

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Stable Anderson Acceleration for Deep Learning

Oct 26, 2021
Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak, Miroslav Stoyanov

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Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data

Feb 21, 2021
Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait

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A greedy constructive algorithm for the optimization of neural network architectures

Sep 07, 2019
Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach

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