Use of Frequency Domain for Complexity Reduction of Convolutional Neural Networks. - Kamran Chitsaz; Mohsen Hajabdollahi; Pejman Khadivi; Shadrokh Samavi; Nader Karimi; Shahram Shirani (ICPR Workshops (4), 2020)

Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions. - Kamran Chitsaz; Mohsen Hajabdollahi; Nader Karimi; Shadrokh Samavi; Shahram Shirani (CoRR, 2020)

Degree-based Feature Is All You Need: Science4Cast Report. - Milad Aghajohari; Mohammad Sadegh Akhondzadeh; Saleh Ashkboos; Kamran Chitsaz (IEEE BigData, 2021)

Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges. - Kamran Chitsaz; Gonçalo Mordido; Jean-Pierre David; François Leduc-Primeau (Trans. Mach. Learn. Res., 2023)

Exploring Quantization for Efficient Pre-Training of Transformer Language Models. - Kamran Chitsaz; Quentin Fournier; Gonçalo Mordido; Sarath Chandar (EMNLP (Findings), 2024)