Ivan Lazarevich

According to our database, Ivan Lazarevich authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

Spikebench: An open benchmark for spike train time-series classification.

Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor B. Kazantsev

PLoS Comput. Biol., January, 2023

YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems.

Ivan Lazarevich, Matteo Grimaldi, Ravish Kumar, Saptarshi Mitra, Shahrukh Khan, Sudhakar Sah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity.

Matteo Grimaldi, Darshan C. Ganji, Ivan Lazarevich, Sudhakar Sah Deeplite

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

2021

Neural Network Compression Framework for Fast Model Inference.

Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov, Nikolay Lyalyushkin, Yury Gorbachev

Proceedings of the Intelligent Computing, 2021

Post-training deep neural network pruning via layer-wise calibration.

Ivan Lazarevich, Alexander Kozlov, Nikita Malinin

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021