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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics., , , , , , , , , and 12 other author(s). Frontiers Big Data, (2020)Physics Community Needs, Tools, and Resources for Machine Learning., , , , , , , , , and 11 other author(s). CoRR, (2022)AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters., , , , , , , , , and . ACM Trans. Reconfigurable Technol. Syst., 15 (3): 23:1-23:32 (2022)Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs., , , , , , , , , and 11 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)Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML., , , , , , , , , and 6 other author(s). CoRR, (2020)GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders., , , , , , , , , and 3 other author(s). Mach. Learn. Sci. Technol., 5 (2): 25020 (2024)Fast inference of Boosted Decision Trees in FPGAs for particle physics., , , , , , , , , and 3 other author(s). CoRR, (2020)Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml., , , , , , , , , and 6 other author(s). Mach. Learn. Sci. Technol., 2 (1): 15001 (2021)Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml., , , , , , , , , and 3 other author(s). CoRR, (2022)