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Philip Harris

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Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Mar 11, 2024
Philip Harris, Michael Kagan, Jeffrey Krupa, Benedikt Maier, Nathaniel Woodward

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Ultra Fast Transformers on FPGAs for Particle Physics Experiments

Feb 01, 2024
Zhixing Jiang, Dennis Yin, Elham E Khoda, Vladimir Loncar, Ekaterina Govorkova, Eric Moreno, Philip Harris, Scott Hauck, Shih-Chieh Hsu

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SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning

Jan 18, 2024
Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris

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Knowledge Distillation for Anomaly Detection

Oct 09, 2023
Adrian Alan Pol, Ekaterina Govorkova, Sonja Gronroos, Nadezda Chernyavskaya, Philip Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer

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Symbolic Regression on FPGAs for Fast Machine Learning Inference

May 06, 2023
Ho Fung Tsoi, Adrian Alan Pol, Vladimir Loncar, Ekaterina Govorkova, Miles Cranmer, Sridhara Dasu, Peter Elmer, Philip Harris, Isobel Ojalvo, Maurizio Pierini

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FAIR AI Models in High Energy Physics

Dec 21, 2022
Javier Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao

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Neural Embedding: Learning the Embedding of the Manifold of Physics Data

Aug 14, 2022
Sang Eon Park, Philip Harris, Bryan Ostdiek

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Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

Jul 01, 2022
Elham E Khoda, Dylan Rankin, Rafael Teixeira de Lima, Philip Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang

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Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

May 16, 2022
Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip Harris

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