Ian T. Foster
University of Chicago
H-index: 141
North America-United States
Top articles of Ian T. Foster
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving | arXiv preprint arXiv:2403.19257 | Yifei Li Ryan Chard Yadu Babuji Kyle Chard Ian Foster | 2024/3/28 |
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing | arXiv preprint arXiv:2401.04552 | Torsten Hoefler Marcin Copik Pete Beckman Andrew Jones Ian Foster | 2024/1/9 |
De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS … | International Journal of Information Security | Thomas Prantl Lukas Horn Simon Engel Lukas Iffländer Lukas Beierlieb | 2023/11/27 |
Deep Learning for Molecular Orbitals | Daniel King Daniel Grzenda Ray Zhu Nathaniel Hudson Ian Foster | 2024/4/30 | |
Combining Language and Graph Models for Semi-structured Information Extraction on the Web | arXiv preprint arXiv:2402.14129 | Zhi Hong Kyle Chard Ian Foster | 2024/2/21 |
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments | arXiv preprint arXiv:2403.06077 | Jim Pruyne Valerie Hayot-Sasson Weijian Zheng Ryan Chard Justin M Wozniak | 2024/3/10 |
Comprehensive exploration of synthetic data generation: A survey | André Bauer Simon Trapp Michael Stenger Robert Leppich Samuel Kounev | 2024/1/4 | |
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes | arXiv preprint arXiv:2404.15668 | Xiaolong Ma Feng Yan Lei Yang Ian Foster Michael E Papka | 2024/4/24 |
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture | Communications Chemistry | Hyun Park Xiaoli Yan Ruijie Zhu Eliu A Huerta Santanu Chaudhuri | 2024/2/14 |
Pretraining a foundation model using MODIS observations of the earth’s atmosphere | Valentine Anantharaj Takuya Kurihana Gabriele Padovani Ankur Kumar Aristeidis Tsaris | 2024/3/7 | |
Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept | Digital Discovery | Stanley Lo Sterling G Baird Joshua Schrier Ben Blaiszik Nessa Carson | 2024 |
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data | Advances in Neural Information Processing Systems | Maurice Weber Carlo Siebenschuh Rory Butler Anton Alexandrov Valdemar Thanner | 2024/2/13 |
Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4. 8.0 | EGUsphere | Jose Rafael Guarin Jonas Jägermeyr Elizabeth A Ainsworth Fabio AA Oliveira Senthold Asseng | 2023/9/8 |
Electronic stopping power predictions from machine learning | Bulletin of the American Physical Society | Cheng-Wei Lee Logan Ward Ben Blaiszik Ian Foster Andre Schleife | 2024/3/7 |
Community action on FAIR data will fuel a revolution in materials research | MRS bulletin | L Catherine Brinson Laura M Bartolo Ben Blaiszik David Elbert Ian Foster | 2024/1 |
RuralAI in tomato farming: Integrated sensor system, distributed computing and hierarchical federated learning for crop health monitoring | IEEE Sensors Letters | Harish Devaraj Shaleeza Sohail Boyang Li Nathaniel Hudson Matt Baughman | 2024/4/4 |
Emin: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability | Journal of Chemical Information and Modeling | Andrew S Lee Sarah Elliott Hassan Harb Logan Ward Ian Foster | 2024/1/30 |
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing | Future Generation Computer Systems | Nathaniel Hudson Hana Khamfroush Matt Baughman Daniel E Lucani Kyle Chard | 2024/8/1 |
Scaling Transformers for Skillful and Reliable Medium-range Weather Forecasting | Tung Nguyen Rohan Shah Hritik Bansal Troy Arcomano Sandeep Madireddy | 2024/3/3 | |
Foundry-ML-Software and Services to Simplify Access to Machine Learning Datasets in Materials Science | Journal of Open Source Software | Kj Schmidt Aristana Scourtas Logan Ward Steve Wangen Marcus Schwarting | 2024/1/23 |
Co-Authors
