| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1874 | 2018 |
| GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ... The International Journal of High Performance Computing Applications 37 (6 …, 2023 | 52 | 2023 |
| Colmena: Scalable machine-learning-based steering of ensemble simulations for high performance computing L Ward, G Sivaraman, JG Pauloski, Y Babuji, R Chard, N Dandu, ... 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 36 | 2021 |
| Convolutional neural network training with distributed K-FAC JG Pauloski, Z Zhang, L Huang, W Xu, IT Foster SC20: International Conference for High Performance Computing, Networking …, 2020 | 34 | 2020 |
| KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks JG Pauloski, Q Huang, L Huang, S Venkataraman, K Chard, I Foster, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 27 | 2021 |
| Glioma segmentation and a simple accurate model for overall survival prediction E Gates, JG Pauloski, D Schellingerhout, D Fuentes International MICCAI Brainlesion Workshop, 476-484, 2018 | 26 | 2018 |
| The diminishing returns of masked language models to science Z Hong, A Ajith, G Pauloski, E Duede, K Chard, I Foster arXiv preprint arXiv:2205.11342, 2022 | 15 | 2022 |
| ScholarBERT: Bigger is Not Always Better Z Hong, A Ajith, G Pauloski, E Duede, C Malamud, R Magoulas, K Chard, ... arXiv preprint arXiv:2205.11342, 2022 | 11 | 2022 |
| Efficient I/O for Neural Network Training with Compressed Data Z Zhang, L Huang, JG Pauloski, IT Foster 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 8 | 2020 |
| Aggregating local storage for scalable deep learning i/o Z Zhang, L Huang, JG Pauloski, I Foster 2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS), 69-75, 2019 | 7 | 2019 |
| Accelerating Communications in Federated Applications with Transparent Object Proxies JG Pauloski, V Hayot-Sasson, L Ward, N Hudson, C Sabino, ... Proceedings of the International Conference for High Performance Computing …, 2023 | 6 | 2023 |
| Cloud services enable efficient ai-guided simulation workflows across heterogeneous resources L Ward, JG Pauloski, V Hayot-Sasson, R Chard, Y Babuji, G Sivaraman, ... 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 6 | 2023 |
| Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision NC Hudson, JG Pauloski, M Baughman, A Kamatar, M Sakarvadia, ... Proceedings of the IEEE/ACM 10th International Conference on Big Data …, 2023 | 3 | 2023 |
| DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies SL Song, B Kruft, M Zhang, C Li, S Chen, C Zhang, M Tanaka, X Wu, ... arXiv preprint arXiv:2310.04610, 2023 | 3 | 2023 |
| Deep Neural Network Training With Distributed K-FAC JG Pauloski, L Huang, W Xu, K Chard, IT Foster, Z Zhang IEEE Transactions on Parallel and Distributed Systems 33 (12), 3616-3627, 2022 | 3 | 2022 |
| AI-and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text Z Hong, JG Pauloski, L Ward, K Chard, B Blaiszik, I Foster arXiv preprint arXiv:2101.04617, 2021 | 3 | 2021 |
| Models and Processes to Extract Drug-like Molecules From Natural Language Text Z Hong, JG Pauloski, L Ward, K Chard, B Blaiszik, I Foster Frontiers in Molecular Biosciences 8, 636077, 2021 | 2 | 2021 |
| Object Proxy Patterns for Accelerating Distributed Applications JG Pauloski, V Hayot-Sasson, L Ward, A Brace, A Bauer, K Chard, I Foster arXiv preprint arXiv:2407.01764, 2024 | | 2024 |
| Models and Processes to Extract Drug-like Molecules From Natural Z Hong, JG Pauloski, L Ward, K Chard, B Blaiszik, I Foster Computational Approaches to Understand Molecular Mechanisms of SARS-CoV-2, 2022 | | 2022 |
| GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.(preprint) MT Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ... | | 2022 |
Ian T. FosterUniversity of Chicago and Argonne National Laboratory在 anl.gov 的电子邮件经过验证
