Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications. - Javier M. Duarte; Song Han 003; Philip C. Harris; Sergo Jindariani; Edward Kreinar; Benjamin Kreis; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Dylan S. Rankin; Ryan A. Rivera; Sioni Summers; et al. (FPGA, 2019)

Fast inference of Boosted Decision Trees in FPGAs for particle physics. - Sioni Summers; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Duc Hoang; Sergo Jindariani; Edward Kreinar; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Dylan S. Rankin; Nhan Tran; et al. (CoRR, 2020)

Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml. - Claudionor José Nunes Coelho Jr.; Aki Kuusela; Hao Zhuang 003; Thea Aarrestad; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Sioni Summers (CoRR, 2020)

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs. - Aneesh Heintz; Vesal Razavimaleki; Javier M. Duarte; Gage DeZoort; Isobel Ojalvo; Savannah Thais; Markus Atkinson; Mark S. Neubauer; Lindsey Gray; Sergo Jindariani; Nhan Tran; Philip C. Harris; et al. (CoRR, 2020)

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. - Yutaro Iiyama; Gianluca Cerminara; Abhijay Gupta; Jan Kieseler; Vladimir Loncar; Maurizio Pierini; Shah Rukh Qasim; Marcel Rieger; Sioni Summers; Gerrit Van Onsem; Kinga Anna Wozniak; Jennifer Ngadiuba; et al. (Frontiers Big Data, 2020)

Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. - Zhiqiang Que; Erwei Wang; Umar Marikar; Eric A. Moreno; Jennifer Ngadiuba; Hamza Javed; Bartlomiej Borzyszkowski; Thea Aarrestad; Vladimir Loncar; Sioni Summers; Maurizio Pierini; Peter Y. K. Cheung; et al. (ASAP, 2021)

Fast convolutional neural networks on FPGAs with hls4ml. - Thea Aarrestad; Vladimir Loncar; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Dylan S. Rankin; et al. (CoRR, 2021)

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. - Farah Fahim; Benjamin Hawks; Christian Herwig; James Hirschauer; Sergo Jindariani; Nhan Tran; Luca P. Carloni; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Dylan S. Rankin; Manuel Blanco Valentin; et al. (CoRR, 2021)

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC. - Giuseppe Di Guglielmo; Farah Fahim; Christian Herwig; Manuel Blanco Valentin; Javier M. Duarte; Cristian Gingu; Philip C. Harris; James Hirschauer; Martin Kwok; Vladimir Loncar; Yingyi Luo; Llovizna Miranda; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Fast convolutional neural networks on FPGAs with hls4ml. - Thea Aarrestad; Vladimir Loncar; Nicolò Ghielmetti; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; et al. (Mach. Learn. Sci. Technol., 2021)

Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml. - Jennifer Ngadiuba; Vladimir Loncar; Maurizio Pierini; Sioni Summers; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Dylan S. Rankin; Sergo Jindariani; Mia Liu; Kevin Pedro; Nhan Tran; et al. (Mach. Learn. Sci. Technol., 2021)

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors. - Claudionor José Nunes Coelho Jr.; Aki Kuusela; Shan Li; Hao Zhuang 003; Jennifer Ngadiuba; Thea Klaeboe Aarrestad; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Sioni Summers (Nat. Mach. Intell., 2021)

QONNX: Representing Arbitrary-Precision Quantized Neural Networks. - Alessandro Pappalardo; Yaman Umuroglu; Michaela Blott; Jovan Mitrevski; Benjamin Hawks; Nhan Tran; Vladimir Loncar; Sioni Summers; Hendrik Borras; Jules Muhizi; Matthew Trahms; Shih-Chieh Hsu; et al. (CoRR, 2022)

Lightweight jet reconstruction and identification as an object detection task. - Adrian Alan Pol; Thea Aarrestad; Ekaterina Govorkova; Roi Halily; Anat Klempner; Tal Kopetz; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Olya Sirkin; Sioni Summers (Mach. Learn. Sci. Technol., 2022)

Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider. - Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Thomas James; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Nicolò Ghielmetti; Maksymilian Graczyk; Sioni Summers; Jennifer Ngadiuba; Thong Q. Nguyen; et al. (Nat. Mach. Intell., 2022)

Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider. - Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Thomas James; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Nicolò Ghielmetti; Maksymilian Graczyk; Sioni Summers; Jennifer Ngadiuba; Thong Q. Nguyen; et al. (Nat. Mach. Intell., 2022)

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. - Nicolò Ghielmetti; Vladimir Loncar; Maurizio Pierini; Marcel Roed; Sioni Summers; Thea Aarrestad; Christoffer Petersson; Hampus Linander; Jennifer Ngadiuba; Kelvin Lin; Philip C. Harris (Mach. Learn. Sci. Technol., 2022)

Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. - Elham E Khoda; Dylan S. Rankin; Rafael Teixeira de Lima; Philip C. Harris; Scott Hauck; Shih-Chieh Hsu; Michael Kagan; Vladimir Loncar; Chaitanya Paikara; Richa Rao; Sioni Summers; Caterina Vernieri; et al. (Mach. Learn. Sci. Technol., 2023)

Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC. - Patrick Odagiu; Zhiqiang Que; Javier M. Duarte; Johannes Haller; Gregor Kasieczka; Artur Lobanov; Vladimir Loncar; Wayne Luk; Jennifer Ngadiuba; Maurizio Pierini; Philipp Rincke; Arpita Seksaria; et al. (CoRR, 2024)

Ultrafast jet classification at the HL-LHC. - Patrick Odagiu; Zhiqiang Que; Javier M. Duarte; Johannes Haller; Gregor Kasieczka; Artur Lobanov; Vladimir Loncar; Wayne Luk; Jennifer Ngadiuba; Maurizio Pierini; Philipp Rincke; Arpita Seksaria; et al. (Mach. Learn. Sci. Technol., 2024)

Edge SpAIce: Deep Learning Deployment Pipeline for Onboard Data Reduction on Satellite FPGAs. - Noemi D'Abbondanza; Stylianos Tzelepis; Nicolò Ghielmetti; Ioannis Kakogeorgiou; Vanya Buchova; Konstantinos Karantzalos; Katerina Kikaki; Nicolas-Marcel Lemoine; Maurizio Pierini; Sioni Summers; Simon Vellas; François de Vieilleville; et al. (IPDPS (Workshops), 2025)