Get started
Author

Alexander Goncharenko

Observed names: A Goncharenko, A. I. GONCHARENKO, A. I. Goncharenko, A. I. Goncharenko, Goncharenko, Alexander
Observed institutions: Russian Academy of Sciences, Novosibirsk State University, Odesa National University of Technology, Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Institute of Automation and Electrometry
ORCID: 0000-0003-4959-6469
Observed ORCID: 0000-0003-4959-6469
OpenAlex ID: A5049304864
Low-Power Computer Vision: Status, Challenges, and Opportunities
2019 · Sergei Alyamkin, Matthew Ardi, et al. · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 84
PDF
Fast Adjustable Threshold for Uniform Neural Network Quantization
2022 · Alexander Goncharenko, Andrey Denisov, et al. · Chapman & Hall/CRC eBooks · 13
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)
2018 · Goncharenko, Alexander, Denisov, Andrey, et al. · arXiv (Cornell University) · 9
Comparative study of the production of scalar and tensor mesons in e+e− collisions
2013 · N. N. Achasov, A. I. Goncharenko, et al. · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · 6
PDF
2023 Low-Power Computer Vision Challenge (LPCVC) Summary
2024 · Chen, Leo, Boardley, Benjamin, et al. · arXiv (Cornell University) · 4
PDF
On Practical Approach to Uniform Quantization of Non-redundant Neural Networks
2019 · Alexander Goncharenko, Andrey Denisov, et al. · Lecture notes in computer science · 2
Trainable Thresholds for Neural Network Quantization
2019 · Alexander Goncharenko, Andrey Denisov, et al. · Lecture notes in computer science · 2
PDF
Blind watermarking algorithm for a sequence of TV images
2016 · A. I. Goncharenko, I. G. Tarantsev, et al. · Optoelectronics Instrumentation and Data Processing · 2
Erratum: Comparative study of the production of scalar and tensor mesons in e+e− collisions [Phys. Rev. D 88, 114001 (2013)]
2014 · N. N. Achasov, A. I. Goncharenko, et al. · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · 1
Training artificial neural networks for the implementation of the Petri nets synthesis process
2026 · Alexander Gurskiy, Andrey Denisenko, et al. · System research and information technologies
PDF
Quantization noise in low bit quantization and iterative adaptation to quantization noise in quantizable neural networks
2021 · D Chudakov, A Goncharenko, et al. · Journal of Physics Conference Series
PDF
Iterative Adaptation to Quantization Noise
2021 · Dmitry Chudakov, Sergey Alyamkin, et al. · Lecture notes in computer science
Applicability of Minifloats for Efficient Calculations in Neural Networks
2020 · A. Yu. Kondrat’ev, A. I. Goncharenko · Optoelectronics Instrumentation and Data Processing
Winning Solution on LPIRC-ll Competition.
2019 · Alexander Goncharenko, Sergey Alyamkin, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
TO LEARN PRODUCTION OF SCALARS VS. TENSORS IN e + e - COLLISIONS
2014 · N. N. ACHASOV, A. I. GONCHARENKO, et al. · International Journal of Modern Physics Conference Series
Works count: 16
Citation count: 132
H-index: 5
I10-index: 2
Year
Topic
Type