Ivan Lazarevich

12 papers Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression.
CoRR
Mike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa
2024 J jnl
QGen: On the Ability to Generalize in Quantization Aware Training.
CoRR
MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane Askari Hemmat, Ivan Lazarevich, Alexander Hoffman, Sudhakar Sah, Ehsan Saboori, Yvon Savaria, Jean-Pierre David
2023 — conf
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity.
ICCV (Workshops)
Matteo Grimaldi, Darshan C. Ganji, Ivan Lazarevich, Sudhakar Sah Deeplite
2023 J jnl
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity.
CoRR
Matteo Grimaldi, Darshan C. Ganji, Ivan Lazarevich, Sudhakar Sah
2023 J jnl
Spikebench: An open benchmark for spike train time-series classification.
PLoS Comput. Biol.
Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor B. Kazantsev
2023 — conf
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems.
ICCV (Workshops)
Ivan Lazarevich, Matteo Grimaldi, Ravish Kumar, Saptarshi Mitra, Shahrukh Khan, Sudhakar Sah
2023 J jnl
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems.
CoRR
Ivan Lazarevich, Matteo Grimaldi, Ravish Kumar, Saptarshi Mitra, Shahrukh Khan, Sudhakar Sah
2022 J jnl
QReg: On Regularization Effects of Quantization.
CoRR
MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alexander Hoffman, Ivan Lazarevich, Ehsan Saboori, Olivier Mastropietro, Yvon Savaria, Jean-Pierre David
2021 — conf
Neural Network Compression Framework for Fast Model Inference.
SAI (3)
Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov, Nikolay Lyalyushkin, Yury Gorbachev
2021 — conf
Post-training deep neural network pruning via layer-wise calibration.
ICCVW
Ivan Lazarevich, Alexander Kozlov, Nikita Malinin
2021 J jnl
Post-training deep neural network pruning via layer-wise calibration.
CoRR
Ivan Lazarevich, Alexander Kozlov, Nikita Malinin
2020 J jnl
Neural Network Compression Framework for fast model inference.
CoRR
Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov, Nikolay Lyalyushkin, Yury Gorbachev