Title
CGRA4ML: A Framework to Implement Modern Neural Networks for Scientific Edge Computing G. Abarajithan Zhenghua Ma Zepeng Li Shrideep Koparkar Ravidu Munasinghe Francesco Restuccia Ryan Kastner 40 1 0 28 Aug 2024
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence Shubha R. Kharel Prashansa Mukim Piotr Maj Grzegorz W. Deptuch Shinjae Yoo Yihui Ren Soumyajit Mandal 49 0 0 18 Jul 2024
Reliable edge machine learning hardware for scientific applications Tommaso Baldi Javier Campos B. Hawks J. Ngadiuba Nhan Tran ... Michael W. Mahoney Vladimir Loncar Philip C. Harris Joshua C. Agar Shuyu Qin 48 0 0 27 Jun 2024
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Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs Jyothisraj Johnson B. Boxer Tarun Prakash Carl Grace Peter Sorensen Mani Tripathi 27 1 0 19 Apr 2024
Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications Olivia Weng Alexander Redding Nhan Tran Javier Mauricio Duarte Ryan Kastner 50 4 0 13 Mar 2024
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Samantha Chen Yusu Wang 27 3 0 01 Aug 2023
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments Shruti R. Kulkarni Aaron R. Young Prasanna Date Narasinga Rao Miniskar Jeffrey S. Vetter ... C. Mills M. Swartz P. Maksimovic Catherine D. Schuman A. Bean 26 9 0 20 Jul 2023
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC Rohan Shenoy Javier Mauricio Duarte C. Herwig J. Hirschauer D. Noonan M. Pierini Nhan Tran C. Suarez 45 1 0 07 Jun 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 36 24 0 14 Dec 2022
Machine-Learning Compression for Particle Physics Discoveries J. Collins Yifeng Huang S. Knapen Benjamin Nachman D. Whiteson 43 4 0 20 Oct 2022
PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals P. Ai Z. Deng Yi Wang H. Gong Xinchi Ran Z. Lang 23 2 0 02 Sep 2022
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning Javier Mauricio Duarte Nhan Tran B. Hawks C. Herwig J. Muhizi Shvetank Prakash Vijay Janapa Reddi 48 11 0 16 Jul 2022
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml Elham E Khoda D. Rankin R. Teixeira de Lima Philip C. Harris Scott Hauck ... Chaitanya Paikara R. Rao S. Summers C. Vernieri Aaron Wang AI4CE 32 16 0 01 Jul 2022
Physics Community Needs, Tools, and Resources for Machine Learning Philip C. Harris E. Katsavounidis W. McCormack D. Rankin Yongbin Feng ... De-huai Chen Mark S. Neubauer Javier Mauricio Duarte G. Karagiorgi Miaoyuan Liu AI4CE 34 3 0 30 Mar 2022
Data-driven detector signal characterization with constrained bottleneck autoencoders C. Jesús-Valls Thorsten Lux Federico Sánchez 18 1 0 09 Mar 2022
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 39 178 0 02 Feb 2021
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 35 5 0 28 Oct 2020
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 88 389 0 16 Apr 2018