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    Fast Machine Learning for Science Conference 2025
    Fast Machine Learning for Science Conference 2025

    Sep 1 – 5, 2025
    ETH Zurich
    Europe/Zurich timezone

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    Local organisers

    • fml-2025-organisers@cern.ch

    Details for Shih-Chieh Hsu

    University of Washington Seattle (US)

    Author in the following contributions

    • EveNet: Towards a Generalist Event Transformer for Unified Understanding and Generation of Collider Data
    • Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particles Reconstruction
    • Hierarchical Dataflow Accelerator of Interaction Networks for Large-Scale Particle Tracking on FPGA
    • SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
    • FPGA-accelerated ML for real-time RHEED inference
    CERN
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