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Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks : *Full/Regular Research Paper submission for the symposium CSCI-ISAI: Artificial Intelligence.

M. Pasini, and J. Yin. CSCI, page 1-7. IEEE, (2021)

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Samuele Pasini

Isabel Lupold

Tanja Lupo

Domenico Lupo

Massimiliano Bienati

Other publications of authors with the same name

Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models.A. Blanchard, P. Zhang, D. Bhowmik, K. Mehta, J. Gounley, S. Reeve, S. Irle, and M. Pasini. SMC, volume 1690 of Communications in Computer and Information Science, page 3-19. Springer, (2022)A deep learning approach for adaptive zoning.M. Pasini, L. Malenica, K. Chong, and S. Slattery. CoRR, (2023)DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.S. Song, B. Kruft, M. Zhang, C. Li, S. Chen, C. Zhang, M. Tanaka, X. Wu, J. Rasley, A. Awan and 82 other author(s). CoRR, (2023)Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN.M. Pasini, J. Choi, K. Mehta, P. Zhang, D. Rogers, J. Bae, K. Ibrahim, A. Aji, K. Schulz, J. Polo and 1 other author(s). CoRR, (2024)Scalable balanced training of conditional generative adversarial neural networks on image data.M. Pasini, V. Gabbi, J. Yin, S. Perotto, and N. Laanait. J. Supercomput., 77 (11): 13358-13384 (2021)DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.J. Choi, M. Pasini, P. Zhang, K. Mehta, F. Liu, J. Bae, and K. Ibrahim. SC Workshops, page 941-950. ACM, (2023)Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials.M. Eisenbach, M. Karabin, M. Pasini, and J. Yin. SMC, volume 1690 of Communications in Computer and Information Science, page 75-86. Springer, (2022)Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks : *Full/Regular Research Paper submission for the symposium CSCI-ISAI: Artificial Intelligence.M. Pasini, and J. Yin. CSCI, page 1-7. IEEE, (2021)Convergence analysis of Anderson-type acceleration of Richardson's iteration.M. Pasini. Numerical Lin. Alg. with Applic., (2019)Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules.J. Choi, P. Zhang, K. Mehta, A. Blanchard, and M. Pasini. J. Cheminformatics, 14 (1): 70 (2022)

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Disambiguation of "Pasini, Massimiliano Lupo"