Post-training deep neural network pruning via layer-wise calibration. - Ivan Lazarevich; Alexander Kozlov; Nikita Malinin (ICCVW, 2021)

Neural Network Compression Framework for Fast Model Inference. - Alexander Kozlov; Ivan Lazarevich; Vasily Shamporov; Nikolay Lyalyushkin; Yury Gorbachev (SAI (3), 2021)

QReg: On Regularization Effects of Quantization. - MohammadHossein AskariHemmat; Reyhane Askari Hemmat; Alexander Hoffman; Ivan Lazarevich; Ehsan Saboori; Olivier Mastropietro; Yvon Savaria; Jean-Pierre David (CoRR, 2022)

Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity. - Matteo Grimaldi; Darshan C. Ganji; Ivan Lazarevich; Sudhakar Sah Deeplite (ICCV (Workshops), 2023)

YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems. - Ivan Lazarevich; Matteo Grimaldi; Ravish Kumar; Saptarshi Mitra; Shahrukh Khan; Sudhakar Sah (ICCV (Workshops), 2023)

Spikebench: An open benchmark for spike train time-series classification. - Ivan Lazarevich; Ilya Prokin; Boris Gutkin; Victor B. Kazantsev (PLoS Comput. Biol., 2023)

QGen: On the Ability to Generalize in Quantization Aware Training. - MohammadHossein AskariHemmat; Ahmadreza Jeddi; Reyhane Askari Hemmat; Ivan Lazarevich; Alexander Hoffman; Sudhakar Sah; Ehsan Saboori; Yvon Savaria; Jean-Pierre David (CoRR, 2024)