Audrey C. Therrien

According to our database, Audrey C. Therrien authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation.

Benjamin Hawks, Jason Weitz, Dmitri Demler, Karla Tame-Narvaez, Dennis Plotnikov, Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C. Therrien, Donovan Sproule, Elham E Khoda, Keegan A. Smith, Russell Marroquin, Giuseppe Di Guglielmo, Nhan Tran, Javier M. Duarte, Vladimir Loncar

ACM Trans. Reconfigurable Technol. Syst., June, 2026

2025

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL.

Hamza Ezzaoui Rahali, Abhilasha Dave, Larry Ruckman, Mohammad Mehdi Rahimifar, Audrey C. Therrien, James J. Russel, Ryan Herbst

CoRR, August, 2025

rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA.

Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C. Therrien

Mach. Learn. Sci. Technol., 2025

Data Transformation for IDS: Leveraging Symbolic and Temporal Aspects.

Enzo Zamaï, David Espes, Audrey C. Therrien, Catherine Dezan

Proceedings of the ICT Systems Security and Privacy Protection, 2025

wa-hls4ml and lui-gnn: A Benchmark and GNN based Surrogate Model for hls4ml Resource and Latency Estimation.

Benjamin Hawks, Dennis Plotnikov, Nhan Tran, Karla Tame-Narvaez, Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C. Therrien, Giuseppe Di Guglielmo, Javier Duarte, Vladimir Loncar

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

2024

Accelerating data acquisition with FPGA-based edge machine learning: a case study with LCLS-II.

Mohammad Mehdi Rahimifar, Quentin Wingering, Berthié Gouin-Ferland, Ryan Coffee, Audrey C. Therrien

Mach. Learn. Sci. Technol., 2024

2023

Exploring machine learning to hardware implementations for large data rate x-ray instrumentation.

Mohammad Mehdi Rahimifar, Quentin Wingering, Berthié Gouin-Ferland, Hamza Ezzaoui Rahali, Charles-Étienne Granger, Audrey C. Therrien

Mach. Learn. Sci. Technol., December, 2023

Quantized Spiking Neural Networks on FPGA: An Application to Retinal Prosthetics.

Marwan Besrour, Samuel Bouchard, Romit Mohanty, Jacob Lavoie, Takwa Omrani, Berhtié Gouin-Ferland, Konin Koua, Audrey C. Therrien, Mounir Boukadoum, Réjean Fontaine

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023