Javier M. Duarte
Orcid: 0000-0002-5076-7096Affiliations:
- University of California San Diego, La Jolla, CA, USA
According to our database1,
Javier M. Duarte
authored at least 75 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
ACM Trans. Reconfigurable Technol. Syst., September, 2024
ACM Trans. Reconfigurable Technol. Syst., March, 2024
Frontiers Big Data, 2024
Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications.
CoRR, 2024
Proceedings of the 42nd IEEE VLSI Test Symposium, 2024
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Differentiable Earth mover's distance for data compression at the high-luminosity LHC.
Mach. Learn. Sci. Technol., December, 2023
LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows.
Mach. Learn. Sci. Technol., December, 2023
Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access.
Comput. Softw. Big Sci., December, 2023
JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics.
J. Open Source Softw., November, 2023
Scalable neural network models and terascale datasets for particle-flow reconstruction.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023
2022
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders: generator-level and reconstruction-level jets dataset.
Dataset, February, 2022
Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider.
Nat. Mach. Intell., 2022
Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider.
Nat. Mach. Intell., 2022
Mach. Learn. Sci. Technol., 2022
Frontiers Artif. Intell., 2022
Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows.
Frontiers Big Data, 2022
Frontiers Big Data, 2022
Frontiers Big Data, 2022
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR, 2022
Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource Access.
CoRR, 2022
CoRR, 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.
CoRR, 2022
CoRR, 2022
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
2021
Quantum Mach. Intell., 2021
Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml.
Mach. Learn. Sci. Technol., 2021
Mach. Learn. Sci. Technol., 2021
Mach. Learn. Sci. Technol., 2021
Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.
Frontiers Artif. Intell., 2021
Comput. Softw. Big Sci., 2021
CoRR, 2021
CoRR, 2021
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC.
CoRR, 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.
CoRR, 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
Frontiers Big Data, 2020
CoRR, 2020
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2020
2019
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing.
Comput. Softw. Big Sci., December, 2019
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019
2018