Autori: Aarrestad Thea
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 | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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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 | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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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 | Web of Science Članak Elečas Rang časopisa Citati: Web of Science |
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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 | Web of Science Članak Elečas Rang časopisa Citati: Web of Science |
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