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Fast Machine Learning for Science Conference 2024

15–18 Oct 2024
Purdue University
America/Indiana/Indianapolis timezone
  • Overview
  • Call for Abstracts
    • Timetable
    • Contribution List
    • Book of Abstracts
    • Registration
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    • Accommodation
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    Details for Jennifer Ngadiuba

    FNAL

    Author in the following contributions

    • Benchmarking and Interpreting Real-Time Quench Detection Algorithms
    • An Efficient Multiply Accumulate Tree for Real-time Quantized Neural Networks
    • Interpreting and Accelerating Transformers for Jet Tagging
    • S-QUARK: A Scalable Quantization-Aware Training Framework for FPGA Deployment based on Keras-v3
    • Towards Online Machine Learning in DUNE Data Acquisition
    • Fast Jet Classification with MLP-Mixer
    • Autonomous discoveries using a modular ecosystem for adaptive anomaly detection in LHC triggers
    • Sparse Time Series Representations for Low Latency Applications
    CERN
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