Javier M. Duarte

Mach. Learn. Sci. Technol., 2022

Editorial: Efficient AI in particle physics and astrophysics.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows.

[BibT_eX]

[DOI]

Pratik Jawahar

Thea Aarrestad

Frontiers Big Data, 2022

Graph Neural Networks for Charged Particle Tracking on FPGAs.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Applications and Techniques for Fast Machine Learning in Science.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Lorentz Group Equivariant Autoencoders.

[BibT_eX]

[DOI]

Zichun Hao

Raghav Kansal

CoRR, 2022

On the Evaluation of Generative Models in High Energy Physics.

[BibT_eX]

[DOI]

Raghav Kansal

Anni Li

Maurizio Pierini

Breno Orzari

Thiago Tomei

CoRR, 2022

Do graph neural networks learn traditional jet substructure?

[BibT_eX]

[DOI]

Farouk Mokhtar

Raghav Kansal

CoRR, 2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource Access.

[BibT_eX]

[DOI]

CoRR, 2022

Data Science and Machine Learning in Education.

[BibT_eX]

[DOI]

CoRR, 2022

FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark.

[BibT_eX]

[DOI]

Hendrik Borras

CoRR, 2022

QONNX: Representing Arbitrary-Precision Quantized Neural Networks.

[BibT_eX]

[DOI]

Alessandro Pappalardo

CoRR, 2022

Physics Community Needs, Tools, and Resources for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders.

[BibT_eX]

[DOI]

Mary Touranakou

CoRR, 2022

Machine Learning for Particle Flow Reconstruction at CMS.

[BibT_eX]

[DOI]

CoRR, 2022

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs.

[BibT_eX]

[DOI]

Javier Mauricio Duarte

Farinaz Koushanfar

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Charged particle tracking with quantum annealing optimization.

[BibT_eX]

[DOI]

Quantum Mach. Intell., 2021

Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

GPU coprocessors as a service for deep learning inference in high energy physics.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

Fast convolutional neural networks on FPGAs with hls4ml.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.

[BibT_eX]

[DOI]

Benjamin Hawks

Nicholas J. Fraser

Alessandro Pappalardo

Nhan Tran

Yaman Umuroglu

Frontiers Artif. Intell., 2021

Charged Particle Tracking via Edge-Classifying Interaction Networks.

[BibT_eX]

[DOI]

Comput. Softw. Big Sci., 2021

Graph Neural Networks for Charged Particle Tracking on FPGAs.

[BibT_eX]

[DOI]

CoRR, 2021

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance.

[BibT_eX]

[DOI]

CoRR, 2021

Explaining machine-learned particle-flow reconstruction.

[BibT_eX]

[DOI]

CoRR, 2021

Applications and Techniques for Fast Machine Learning in Science.

[BibT_eX]

[DOI]

Allison McCarn Deiana

Nhan Tran

Joshua Agar

Michaela Blott

Tomás E. Müller-Bravo

Seyedramin Rasoulinezhad

Maria Domenica Galati

Mohammed Attia Mohammed

Subramanian Ramamoorthy

CoRR, 2021

A FAIR and AI-ready Higgs Boson Decay Dataset.

[BibT_eX]

[DOI]

Volodymyr V. Kindratenko

Zhizhen Zhao

Roger Rusack

CoRR, 2021

Particle Cloud Generation with Message Passing Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2021

MLPerf Tiny Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC.

[BibT_eX]

[DOI]

Farah Fahim

Christian Herwig

Manuel Blanco Valentin

CoRR, 2021

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.

[BibT_eX]

[DOI]

CoRR, 2021

MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Fast convolutional neural networks on FPGAs with hls4ml.

[BibT_eX]

[DOI]

Christoffer Petersson

Hampus Linander

Yutaro Iiyama

CoRR, 2021

Particle Cloud Generation with Message Passing Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MLPerf Tiny Benchmark.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics.

[BibT_eX]

[DOI]

CoRR, 2020

GPU coprocessors as a service for deep learning inference in high energy physics.

[BibT_eX]

[DOI]

CoRR, 2020

Fast inference of Boosted Decision Trees in FPGAs for particle physics.

[BibT_eX]

[DOI]

Sioni Summers