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Philip Harris

MIT

Reliable edge machine learning hardware for scientific applications

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Jun 27, 2024
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Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

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Mar 11, 2024
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Ultra Fast Transformers on FPGAs for Particle Physics Experiments

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Feb 01, 2024
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SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning

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Jan 18, 2024
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Knowledge Distillation for Anomaly Detection

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Oct 09, 2023
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Symbolic Regression on FPGAs for Fast Machine Learning Inference

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May 06, 2023
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FAIR AI Models in High Energy Physics

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Dec 21, 2022
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Neural Embedding: Learning the Embedding of the Manifold of Physics Data

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Aug 14, 2022
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Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

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Jul 01, 2022
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Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

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May 16, 2022
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