Autori: Kagan Michael
| Naslov | PQuantML: a tool for end-to-end hardware-aware model compression (Article) |
| Autori | Niemi Roope Petrovych Anastasiia Ranjan Das Arghya Lupi Enrico Sun Chang Danopoulos Dimitrios Joshua Helbing Marlon Liu Mia Dittmeier Sebastian Kagan Michael Loncar Vladimir Pierini Maurizio |
| Info | MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2026), vol. 7 br. 5, str. - |
| Projekat | Eric & Wendy Schmidt Fund for Strategic Innovation [SIF-2023-004]; SLAC National Accelerator Laboratory [DE-AC02-76SF00515] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: |
| Naslov | AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines (Proceedings Paper) |
| Autori | Danopoulos Dimitrios Lupi Enrico Sun Chang Dittmeier Sebastian Kagan Michael Loncar Vladimir Pierini Maurizio |
| Info | 2026 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES, FCCM, (2026), vol. br. , str. 176-184 |
| Projekat | Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]; US Department of Energy (DOE) [DE-AC02-76SF00515]; German Federal Ministry for Research, Technology and Space (BMFTR) |
| Ispravka | ISI/Web of Science Članak Citati: |
