Pronađeno: 1-10 / 20 radova

Autori: Loncar Vladimir

>> Prikaži sve rezultate

Naslov SparsePixels: efficient convolution for sparse data on FPGAs (Article)
Autori Tsoi Ho Fung  Rankin Dylan  Loncar Vladimir  Harris Philip 
Info MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2026), vol. 7 br. 5, str. -
Projekat NSF [2019786, PHY-]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy [DE-SC0025324]; U.S. National Science Foundation (NSF) Harnessing the Data Revolution ( [PHY-2117997]; National Science Foundation [1540112, 1541349, 1730158, 1826967, 2100237, 2112167, 2120019]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
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 hls4ml: A Flexible, Open Source Platform for Deep Learning Acceleration on Reconfigurable Hardware (Article)
Autori ...  Loncar Vladimir  ...  (broj koautora 53) 
Info ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, (2026), vol. 19 br. 2, str. -
Projekat Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute under U.S. National Science Foundation (NSF) [PHY-2117997]; FermiForward Discovery Group, LLC [89243024CSC000002]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics [ST/W000636/1]; Science and Technology Facilities Council (STFC) [ST/W000636/1]; EPSRC [UKRI256, EP/V028251/1, EP/N031768/1, EP/S030069/1, EP/X036006/1]; Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [2303700, DE-SC0025324]; DOE ASRSP GCFA Grant [SP0062070]; NSF POSE Phase II Award [2303700]; DOE, Office of Science, Office of High Energy Physics Early Career Research program [DE-SC0025324, DE-SC0021187]; Research Corporation for Science Advancement (RCSA) [CS-CSA-2023-109]; Alfred P. Sloan Foundation [FG-2023-20452]; U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-SC0023365]; NSF ACCESS [PHY240298]; DOE, Office of Science, Office of High Energy Physics [DE-SC0023365, DE-SC0011925]; DOE Office of Science, Office of High Energy Physics "Designing efficient edge AI with physics phenomena" Project [DE-FOA-0002705]; Swiss National Science Foundation [PZ00P2_201594]; Ryan Fellowship; International Institute for Nanotechnology at Northwestern University; Swiss National Science Foundation (SNF) [PZ00P2_201594] Funding Source: Swiss National Science Foundation (SNF)
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science  
Naslov da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs (Article)
Autori Sun Chang  Que Zhiqiang  Loncar Vladimir  Luk Wayne  Spiropulu Maria 
Info ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, (2026), vol. 19 br. 1, str. -
Projekat U.S. Department of Energy (DOE) , Office of Science, Office of High Energy Physics [DE-SC0011925]; NSF ACCESS [PHY240298]; United Kingdom EPSRC [UKRI256, EP/V028251/1, EP/N031768/1, EP/S030069/1, EP/X036006/1]; Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov It's not a FAD: first demonstration of flows for unsupervised anomaly detection at 40 MHz for use at the Large Hadron Collider (Article)
Autori Vaselli Francesco  Sun Chang  Aarrestad Thea  Danopoulos Dimitrios  Oskari Niemi Roope  Mikolaj Glowacki Maciej  Govorkova Katya  Loncar Vladimir  Pantaleo Felice  Pierini Maurizio 
Info MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2026), vol. 7 br. 2, str. -
Projekat NSF [PHY240298]; Eric & Wendy Schmidt Fund for Strategic Innovation [SIF-2023-004]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics [DE-SC0011925]; Open Access Publishing Fund of the Scuola Normale Superiore
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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 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  
  • 1
  • 2
Ispis zapisa u formatu:TXT | BibTeX