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

Title
Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC Pratik Jawahar C. Doglioni M. Pierini 32 0 0 16 Nov 2025
FPGA-Based Real-Time Waveform Classification Alperen Aksoy Ilja Bekman Chimezie Eguzo Christian Grewing Andre Zambanini 24 0 0 07 Nov 2025
wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation B. Hawks Jason Weitz Dmitri Demler Karla Tame-Narvaez Dennis Plotnikov ... Russell Marroquin G. D. Guglielmo N. Tran Javier Mauricio Duarte Vladimir Loncar VLM 29 0 0 06 Nov 2025
Sub-microsecond Transformers for Jet Tagging on FPGAs Lauri Laatu Chang Sun Arianna Cox A. Gandrakota Benedikt Maier J. Ngadiuba Zhiqiang Que Wayne Luk M. Spiropulu A. Tapper 24 0 0 26 Oct 2025
AI for Scientific Discovery is a Social Problem Georgia Channing Avijit Ghosh 136 2 0 08 Sep 2025
Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL Hamza Ezzaoui Rahali Abhilasha Dave L. Ruckman M. M. Rahimifar A. C. Therrien James J. Russel R. Herbst 60 1 0 29 Aug 2025
NeuraLUT-Assemble: Hardware-aware Assembling of Sub-Neural Networks for Efficient LUT InferenceIEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), 2025 Marta Andronic George A. Constantinides 304 3 0 01 Apr 2025
PolyLUT: Ultra-low Latency Polynomial Inference with Hardware-Aware Structured PruningIEEE transactions on computers (IEEE Trans. Comput.), 2025 Marta Andronic Jiawen Li George A. Constantinides 136 5 0 14 Jan 2025
TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision TreesSymposium on Field Programmable Gate Arrays (FPGA), 2025 Alireza Khataei Kia Bazargan 163 11 0 02 Jan 2025
HPCNeuroNet: A Neuromorphic Approach Merging SNN Temporal Dynamics with Transformer Attention for FPGA-based Particle Physics Murat Isik Hiruna Vishwamith Jonathan Naoukin I. C. Dikmen 137 0 0 23 Dec 2024
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing Chao Qian Tianheng Ling Gregor Schiele 153 11 0 29 Aug 2024
rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA M. M. Rahimifar Hamza Ezzaoui Rahali A. C. Therrien 144 3 0 09 Aug 2024
Hardware Neural Control of CartPole and F1TENTH Race Car Marcin Paluch Florian Bolli Xiang Deng A. Rios-Navarro Chang Gao T. Delbruck 126 1 0 11 Jul 2024
Modeling Performance of Data Collection Systems for High-Energy Physics W. Olin-Ammentorp Xingfu Wu Andrew A. Chien 152 0 0 27 Jun 2024
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA Zehuan Zhang Hongxiang Fan Hao Mark Chen Lukasz Dudziak Wayne Luk BDL 185 0 0 23 Jun 2024
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA Hao Mark Chen Liam Castelli Martin Ferianc Hongyu Zhou Shuanglong Liu Wayne Luk Hongxiang Fan 177 0 0 20 Jun 2024
PolyLUT-Add: FPGA-based LUT Inference with Wide InputsInternational Conference on Field-Programmable Logic and Applications (FPL), 2024 Binglei Lou Richard Rademacher David Boland Philip H. W. Leong 129 9 0 07 Jun 2024
HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis Andy He Darren Key Mason Bulling Andrew Chang Skyler Shapiro Everett Lee 142 4 0 29 Apr 2024
Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs Jyothisraj Johnson B. Boxer Tarun Prakash Carl Grace Peter Sorensen Mani Tripathi 116 2 0 19 Apr 2024
Allo: A Programming Model for Composable Accelerator Design Hongzheng Chen Niansong Zhang Shaojie Xiang Zhichen Zeng Mengjia Dai Zhiru Zhang 184 30 0 07 Apr 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient InferenceInternational Conference on Human Factors in Computing Systems (CHI), 2024 Fred Hohman Chaoqun Wang Jinmook Lee Jochen Görtler Dominik Moritz Jeffrey P. Bigham Zhile Ren Cecile Foret Qi Shan Xiaoyi Zhang 266 7 0 03 Apr 2024
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction Petros Toupas Zhewen Yu C. Bouganis Dimitrios Tzovaras 97 1 0 27 Mar 2024
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs Md Rubel Ahmed T. Koike-Akino K. Parsons Ye Wang AI4CE 126 4 0 15 Mar 2024
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions Marta Andronic George A. Constantinides 163 10 0 29 Feb 2024
Ultra Fast Transformers on FPGAs for Particle Physics Experiments Zhixing Jiang Dennis Yin Elham E Khoda Vladimir Loncar E. Govorkova Eric A. Moreno Philip C. Harris Scott Hauck Shih-Chieh Hsu 129 7 0 01 Feb 2024
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference Hongzheng Chen Jiahao Zhang Yixiao Du Shaojie Xiang Zichao Yue Niansong Zhang Yaohui Cai Zhiru Zhang 187 69 0 23 Dec 2023
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning ExperiencesInternational Conference on Human Factors in Computing Systems (CHI), 2023 Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 285 24 0 06 Oct 2023
PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based InferenceInternational Conference on Field-Programmable Technology (ICFPT), 2023 Marta Andronic George A. Constantinides 178 30 0 05 Sep 2023
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGADesign Automation Conference (DAC), 2023 Hongxiang Fan Hao Mark Chen Liam Castelli Zhiqiang Que He Li Kenneth Long Wayne Luk BDL 135 4 0 13 Aug 2023
A Survey of Spiking Neural Network Accelerator on FPGA Murat Isik 157 24 0 08 Jul 2023
TinyML: Tools, Applications, Challenges, and Future Research Directions Rakhee Kallimani K. Pai Prasoon Raghuwanshi S. Iyer O. López 165 70 0 23 Mar 2023
Tailor: Altering Skip Connections for Resource-Efficient InferenceACM Transactions on Reconfigurable Technology and Systems (TRETS), 2023 Olivia Weng Gabriel Marcano Vladimir Loncar Alireza Khodamoradi Nojan Sheybani Andres Meza F. Koushanfar K. Denolf Javier Mauricio Duarte Ryan Kastner 170 16 0 18 Jan 2023
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs Shehzeen Samarah Hussain Nojan Sheybani Paarth Neekhara Xinqiao Zhang Javier Mauricio Duarte F. Koushanfar 157 15 0 26 Sep 2022
Neural network accelerator for quantum control David Xu A. B. Özgüler G. D. Guglielmo Nhan Tran G. Perdue L. Carloni F. Fahim 155 10 0 04 Aug 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark H. Borras G. D. Guglielmo Javier Mauricio Duarte Nicolò Ghielmetti B. Hawks ... Nhan Tran Yaman Umuroglu Olivia Weng Aidan Yokuda Michaela Blott VLM MQ 173 15 0 23 Jun 2022
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml Nicolò Ghielmetti Vladimir Loncar M. Pierini Marcel Roed S. Summers ... Christoffer Petersson Hampus Linander J. Ngadiuba Kelvin Lin Philip C. Harris SSeg 253 33 0 16 May 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 277 38 0 23 Mar 2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAsIEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2022 Yasmine Omri Tim Callahan Joseph R. Bushagour Colby R. Banbury Alan V. Green Pete Warden Tim Ansell Vijay Janapa Reddi 207 41 0 05 Jan 2022
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 95 4 0 29 Nov 2021
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physicsJournal of Instrumentation (JINST), 2021 Tae Min Hong B. Carlson Brandon Eubanks Stephen Racz Stephen Roche J. Stelzer Daniel C. Stumpp 203 28 0 07 Apr 2021
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking X. Ju D. Murnane P. Calafiura Nicholas Choma S. Conlon ... Aditi Chauhan A. Schuy Shih-Chieh Hsu A. Ballow A. Lazar 158 78 0 11 Mar 2021