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Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML., , , , , , , , , and 6 other author(s). CoRR, (2020)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)Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics., , , , , , , , , and 6 other author(s). CoRR, (2019)Towards Optimal Compression: Joint Pruning and Quantization., , , , , and . CoRR, (2023)Fast convolutional neural networks on FPGAs with hls4ml., , , , , , , , , and 10 other author(s). Mach. Learn. Sci. Technol., 2 (4): 45015 (2021)Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs., , , , , and . FPL, page 327-333. IEEE, (2022)Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider., , , , and . Comput. Softw. Big Sci., (December 2019)Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders., , , , and . CoRR, (2021)Source-agnostic gravitational-wave detection with recurrent autoencoders., , , , and . Mach. Learn. Sci. Technol., 3 (2): 25001 (2022)