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Browsing by Author Loncar, Vladimir
Showing results 1 to 15 of 15
| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2021 | A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC | Di, Guglielmo Giuseppe; ...; Loncar, Vladimir; ...; (broj, koautora 18) | Article | 21M21 |
| 2022 | Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider | 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;
| Article | 21a+M21a+ |
| 2021 | Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors | Coelho, Claudionor N Jr; Kuusela, Aki; Li, Shan; Zhuang, Hao; Ngadiuba, Jennifer; Aarrestad, Thea Klaeboe; Loncar, Vladimir; Pierini, Maurizio; Pol, Adrian Alan; Summers, Sioni | Article | 21a+M21a+ |
| 2026 | da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs | Sun, Chang; Que, Zhiqiang; Loncar, Vladimir; Luk, Wayne; Spiropulu, Maria | Article | 22M22 |
| 2021 | Fast convolutional neural networks on FPGAs with hls4ml | Aarrestad, Thea; Loncar, Vladimir; ...; (broj, koautora 20) | Article | 21M21 |
| 2023 | FPGA Resource-aware Structured Pruning for Real-Time Neural Networks | Ramhorst, Benjamin; Loncar, Vladimir; Constantinides, George A | Conference Paper | Mp. category will be shown later |
| 2020 | Generative Adversarial Networks for fast simulation | Carminati, Federico; Khattak, Gulrukh; Loncar, Vladimir; Nguyen, Thong Q; Pierini, Maurizio; Da, Rocha Ricardo Brito; Samaras-Tsakiris, Konstantinos; Vallecorsa, Sofia; Vlimant, Jean-Roch | Conference Paper | Mp. category will be shown later |
| 2026 | HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs | Sun, Chang; Que, Zhiqiang; Arrestad, Thea; Loncar, Vladimir; Ngadiuba, Jennifer; Luk, Wayne; Spiropulu, Maria | Conference Paper | Mp. category will be shown later |
| 2026 | It's not a FAD: first demonstration of flows for unsupervised anomaly detection at 40 MHz for use at the Large Hadron Collider | Vaselli, Francesco; Sun, Chang; Aarrestad, Thea; Danopoulos, Dimitrios; Oskari, Niemi Roope; Mikolaj, Glowacki Maciej; Govorkova, Katya; Loncar, Vladimir; Pantaleo, Felice; Pierini, Maurizio | Article | 21aM21a |
| 2022 | Lightweight jet reconstruction and identification as an object detection task | Pol, Adrian Alan; Aarrestad, Thea; Govorkova, Ekaterina; Halily, Roi; Klempner, Anat; Kopetz, Tal; Loncar, Vladimir; Ngadiuba, Jennifer; Pierini, Maurizio; Sirkin, Olya;
Summers, Sioni;
| Article | 21aM21a |
| 2025 | Low latency transformer inference on FPGAs for physics applications with hls4ml | Jiang, Zhixing; Yin, Dennis; Chen, Yihui; Khoda, Elham E; Hauck, Scott; Hsu, Shih Chieh; Govorkova, Ekaterina; Harris, Philip; Loncar, Vladimir; Moreno, Eric A | Article | 22M22 |
| 2022 | Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml | Ghielmetti, Nicolo; Loncar, Vladimir; Pierini, Maurizio; Roed, Marcel; Summers, Sioni; Aarrestad, Thea; Petersson, Christoffer; Linander, Hampus; Ngadiuba, Jennifer; Lin, Kelvin;
Harris, Philip;
| Article | 21aM21a |
| 2024 | Symbolic Regression on FPGAs for Fast Machine Learning Inference | Tsoi, Ho Fung; Pol, Adrian Alan; Loncar, Vladimir; Govorkova, Ekaterina; Cranmer, Miles; Dasu, Sridhara; Elmer, Peter; Harris, Philip; Ojalvo, Isobel; Pierini, Maurizio | Conference Paper | Mp. category will be shown later |
| 2025 | SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression | Tsoi, Ho Fung; Loncar, Vladimir; Dasu, Sridhara; Harris, Philip | Article | 21aM21a |
| 2024 | Ultrafast jet classification at the HL-LHC | Odagiu, Patrick; ...; Loncar, Vladimir; ...; (broj, koautora 16) | Article | 21aM21a |