Autori: Loncar Vladimir
| Naslov | Low latency transformer inference on FPGAs for physics applications with hls4ml (Article) |
| Autori | Jiang Zhixing Yin Dennis Chen Yihui Khoda Elham E Hauck Scott Hsu Shih Chieh Govorkova Ekaterina Harris Philip Loncar Vladimir Moreno Eric A |
| Info | JOURNAL OF INSTRUMENTATION, (2025), vol. 20 br. 4, str. - |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression (Article) |
| Autori | Tsoi Ho Fung Loncar Vladimir Dasu Sridhara Harris Philip |
| Info | MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2025), vol. 6 br. 1, str. - |
| Projekat | High Energy Physicshttp://dx.doi.org/10.13039/100006208 [DE-SC0017647]; U S Department of Energy [A3D3]; NSF Institute for Accelerated AI Algorithms for Data-Driven Discovery [PHY-2117997]; NSF [PHY-2019786]; Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), under the NSF |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Ultrafast jet classification at the HL-LHC (Article) |
| Autori | Odagiu Patrick ... Loncar Vladimir ... (broj koautora 16) |
| Info | MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2024), vol. 5 br. 3, str. - |
| Projekat | NSF; Swiss National Science Foundation [PZ00P2_201594]; European Research Council (ERC) under the European Union [966696]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics Early Career Research program [DE-SC0021187]; CAPES; CNPq; FAPERJ; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [EXC 2121, 390833306]; Fermi Research Alliance, LLC [DE-AC02-07CH11359]; Department of Energy (DOE), Office of Science, Office of High Energy Physics; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics 'Designing efficient edge AI with physics phenomena' Project [DE-FOA-0002705]; United Kingdom EPSRC [EP/V028251/1, EP/L016796/1, EP/N031768/1, EP/P010040/1, EP/S030069/1] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Symbolic Regression on FPGAs for Fast Machine Learning Inference (Proceedings Paper) |
| Autori | Tsoi Ho Fung Pol Adrian Alan Loncar Vladimir Govorkova Ekaterina Cranmer Miles Dasu Sridhara Elmer Peter Harris Philip Ojalvo Isobel Pierini Maurizio |
| Info | 26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS, CHEP 2023, (2024), vol. 295 br. , str. - |
| Projekat | U.S. Department of Energy [DE-SC0017647]; Eric and Wendy Schmidt Transformative Technology Fund [A3D3, NSF 2117997]; European Research Council (ERC) under the European Union [772369] |
| Ispravka | ISI/Web of Science Članak Elečas |
| Naslov | FPGA Resource-aware Structured Pruning for Real-Time Neural Networks (Proceedings Paper) |
| Autori | Ramhorst Benjamin Loncar Vladimir Constantinides George A |
| Info | 2023 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE TECHNOLOGY, ICFPT, (2023), vol. br. , str. 282-283 |
| Projekat | Engineering and Physical Sciences Research Council (EPSRC) [EP/S030069/1]; NSF Institute [A3D3]; NSF [2117997] |
| Ispravka | ISI/Web of Science Članak |
| Naslov | Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml (Article) |
| Autori | Ghielmetti Nicolo Loncar Vladimir Pierini Maurizio Roed Marcel Summers Sioni Aarrestad Thea Petersson Christoffer Linander Hampus Ngadiuba Jennifer Lin Kelvin Harris Philip |
| Info | MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2022), vol. 3 br. 4, str. - |
| Projekat | European Research Council (ERC) [772369, 966696] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Lightweight jet reconstruction and identification as an object detection task (Article) |
| Autori | Pol Adrian Alan Aarrestad Thea Govorkova Ekaterina Halily Roi Klempner Anat Kopetz Tal Loncar Vladimir Ngadiuba Jennifer Pierini Maurizio Sirkin Olya Summers Sioni |
| Info | MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2022), vol. 3 br. 2, str. - |
| Projekat | European Research Council (ERC) under the European Union [772369]; CEVA under the CERN Knowledge Transfer Group |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider (Article) |
| Autori | Govorkova Ekaterina Puljak Ema Aarrestad Thea James Thomas Loncar Vladimir Pierini Maurizio Pol Adrian Alan Ghielmetti Nicolo Graczyk Maksymilian Summers Sioni Ngadiuba Jennifer Nguyen Thong Q Duarte Javier Wu Zhenbin |
| Info | NATURE MACHINE INTELLIGENCE, (2022), vol. 4 br. 2, str. 154-+ |
| Projekat | European Research Council (ERC) under the European UnionEuropean Research Council (ERC) [772369]; ERC-POC programme [996696] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science |
| Naslov | A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC (Article) |
| Autori | Di Guglielmo Giuseppe ... Loncar Vladimir ... (broj koautora 18) |
| Info | IEEE TRANSACTIONS ON NUCLEAR SCIENCE, (2021), vol. 68 br. 8, str. 2179-2186 |
| Projekat | Fermi Research Alliance, LLC through the U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics [DE-AC02-07CH11359]; DOE, Office of Science, Office of High Energy Physics Early Career Research ProgramUnited States Department of |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Fast convolutional neural networks on FPGAs with hls4ml (Article) |
| Autori | Aarrestad Thea Loncar Vladimir ... (broj koautora 20) |
| Info | MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2021), vol. 2 br. 4, str. - |
| Projekat | European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [772369]; Fermi Research Alliance, LLC [DE-AC02-07CH11359]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics; Massachusetts Institute of Technology University; National Science Foundation [1606321, 115164]; DOE, Office of Science, Office of High Energy Physics Early Career Research program [DE-SC0021187] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science |
