DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators Mahdi Taheri , Mohammad Riazati, Mohammad Ahmadilivani , Maksim Jenihhin , Masoud Daneshtalab, Jaan Raik , Mikael Sjödin, Björn Lisper International Symposium on Quality Electronic Design (ISQED 2023)
DeepFlexiHLS: Deep Neural Network Flexible High-Level Synthesis Directive Generator Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper IEEE Nordic Circuits and Systems Conference (NORCAS)
AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper International Conference on Artificial Intelligence Circuits and Systems (AICAS'22)
TAS:Ternarized Neural Architecture Search for Resource-Constrained Edge Devices (Mar 2022) Mohammad Loni, Seyedhamidreza Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin Design, Automation and Test in Europe Conference (DATE'22)
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper International Conference on Electronics Circuits and Systems (ICECS'20)
Adjustable self-healing methodology for accelerated functions in heterogeneous systems Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper Euromicro Conference on Digital System Design (DSD'20)
SHiLA: Synthesizing High-Level Assertions for High Speed Validation of High-Level Designs Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS'20)