21 citations · 37 across the 7 of their papers we have counts for
8 papers
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems
Ivan Lazarevich, Matteo Grimaldi, Ravish Kumar +3
We present YOLOBench, a benchmark comprised of 550+ YOLO-based object detection models on 4 different datasets and 4 different embedded hardware platforms (x86 CPU, ARM CPU, Nvidia…
QReg: On Regularization Effects of Quantization
MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alex Hoffman +6
In this paper we study the effects of quantization in DNN training. We hypothesize that weight quantization is a form of regularization and the amount of regularization is correlat…
Post-training deep neural network pruning via layer-wise calibration
Ivan Lazarevich, Alexander Kozlov, Nikita Malinin
We present a post-training weight pruning method for deep neural networks that achieves accuracy levels tolerable for the production setting and that is sufficiently fast to be run…
Neural Network Compression Framework for fast model inference
Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov +2
In this work we present a new framework for neural networks compression with fine-tuning, which we called Neural Network Compression Framework (NNCF). It leverages recent advances…
Stock market microstructure inference via multi-agent reinforcement learning
J. Lussange, I. Lazarevich, S. Bourgeois-Gironde +2
Quantitative finance has had a long tradition of a bottom-up approach to complex systems inference via multi-agent systems (MAS). These statistical tools are based on modelling age…
Spikebench: An open benchmark for spike train time-series classification
Ivan Lazarevich, Ilya Prokin, Boris Gutkin +1
Modern well-performing approaches to neural decoding are based on machine learning models such as decision tree ensembles and deep neural networks. The wide range of algorithms tha…
Dynamics of the brain extracellular matrix governed by interactions with neural cells
Ivan Lazarevich, Sergey Stasenko, Maia Rozhnova +3
Neuronal and glial cells release diverse proteoglycans and glycoproteins, which aggregate in the extracellular space and form the extracellular matrix (ECM) that may in turn regula…
Dendritic signal transmission induced by intracellular charge inhomogeneities
Ivan A. Lazarevich, Victor B. Kazantsev
Signal propagation in neuronal dendrites represents the basis for interneuron communication and information processing in the brain. Here we take into account charge inhomogeneitie…