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Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml., , , , , , , and . CoRR, (2020)Fast inference of Boosted Decision Trees in FPGAs for particle physics., , , , , , , , , and 3 other author(s). CoRR, (2020)Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder., , , , and . CoRR, (2023)Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows., , , , , , , and . Frontiers Big Data, (2022)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)Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors., , , , , , , , , and . Nat. Mach. Intell., 3 (8): 675-686 (2021)A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC., , , , , , , , , and 8 other author(s). CoRR, (2021)Fast inference of deep neural networks in FPGAs for particle physics., , , , , , , , , and 1 other author(s). CoRR, (2018)Applications and Techniques for Fast Machine Learning in Science., , , , , , , , , and 77 other author(s). CoRR, (2021)Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications., , , , , , , , , and 4 other author(s). FPGA, page 305. ACM, (2019)