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Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics., , , , , , , , , and 6 other author(s). CoRR, (2019)Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider., , , , , , , , , and 4 other author(s). Nat. Mach. Intell., 4 (2): 154-161 (2022)Learning representations of irregular particle-detector geometry with distance-weighted graph networks., , , and . CoRR, (2019)Progress towards an improved particle flow algorithm at CMS with machine learning., , , , , and . CoRR, (2023)Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML., , , , , , , , , and 6 other author(s). CoRR, (2020)hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices., , , , , , , , , and 20 other author(s). CoRR, (2021)Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC., , , , , , , , , and 6 other author(s). CoRR, (2024)Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs., , , , , , , , , and 11 other author(s). CoRR, (2020)Anomaly Detection with Conditional Variational Autoencoders., , , , and . ICMLA, page 1651-1657. IEEE, (2019)LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics., , , , , , , and . ACM Trans. Embed. Comput. Syst., 23 (2): 17:1-17:28 (March 2024)