Andrey Kuzmin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Generative Model

Pruning Methods

Top Venues

Int. J. Embed. Real Time Commun. Syst.

Publications

Mart van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Cédric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul N. Whatmough
GPTVQ: The Blessing of Dimensionality for LLM Quantization. CoRR (2024)
Mart van Baalen, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort
FP8 versus INT8 for efficient deep learning inference. CoRR (2023)
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
Pruning vs Quantization: Which is Better? NeurIPS (2023)
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
Pruning vs Quantization: Which is Better? CoRR (2023)
Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort
Simulated Quantization, Real Power Savings. CVPR Workshops (2022)
Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
FP8 Quantization: The Power of the Exponent. NeurIPS (2022)
Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi
Quantized Sparse Weight Decomposition for Neural Network Compression. CoRR (2022)
Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
FP8 Quantization: The Power of the Exponent. CoRR (2022)
Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
Cyclical Pruning for Sparse Neural Networks. CoRR (2022)
Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
Cyclical Pruning for Sparse Neural Networks. CVPR Workshops (2022)
Maxim Safronov, Andrey Kuzmin, Oleg Bodin, Viktor Baranov, Olga Timokhina, Oleg Cheban
Reducing of Bioimpedance Influence on ECG by Correction Filter in Mobile Heart Monitoring System. FRUCT (2020)
Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. CoRR (2019)
Alan Alimuradov, Alexander Tychkov, Andrey Kuzmin, Pyotr Churakov, Alexey Ageykin, Galina Vishnevskaya
Improved CEEMDAN Based Speech Signal Analysis Algorithm for Mental Disorders Diagnostic System: Pitch Frequency Detection and Measurement. Int. J. Embed. Real Time Commun. Syst. 10 (1) (2019)
Maxim Safronov, Andrey Kuzmin, Oleg Bodin, Viktor Baranov, Alexey Trofimov, Alexander Tychkov
Mobile ECG Monitoring Device with Bioimpedance Measurement and Analysis. FRUCT (2019)
Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky
Set2Model networks: Learning discriminatively to learn generative models. Comput. Vis. Image Underst. 173 (2018)
Alexander Tychkov, Andrey Kuzmin, Alan Alimuradov, Alexey Ageykin, Vladimir Kalistratov, Svetlana Mitroshina
HHT-based Analysis of ECG Signals of Patients with Borderline Mental Disorders. FRUCT (2018)
Andrey Kuzmin, Maxim Safronov, Oleg Bodin, Sergey Prokhorov, Anastasya Stolbova
Mobile ECG monitoring system prototype and wavelet-based arrhythmia detection. FRUCT (2017)
Alan Alimuradov, Alexander Tychkov, Andrey Kuzmin, Pyotr Churakov, Alexey Ageykin, Galina Vishnevskaya
Measurement of speech signal patterns under borderline mental disorders. FRUCT (2017)
Maxim Mitrokhin, Andrey Kuzmin, Nikita Dyatlov, Fagim Rakhmatullov, Natalia Mitrokhina, Alan Alimuradov, Alexander Tychkov
Investigation of models for prognosis of critical values of non-invasive electrophysiological parameters of pregnant women with abnormalities of heart rate. FRUCT (2017)
Andrey Kuzmin, Alexander Vakhitov, Victor S. Lempitsky
Set2Model Networks: Learning Discriminatively To Learn Generative Models. ICCV Workshops (2017)
Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky
End-to-End learning of cost-volume aggregation for real-time dense stereo. MLSP (2017)
Andrey Kuzmin, Maxim Safronov, Oleg Bodin, Mikhail Petrovsky, Anton Sergeenkov
Mobile Heart Monitoring System Prototype Based on the Texas Instruments Hardware: Energy Efficiency and J-point Detection. Int. J. Embed. Real Time Commun. Syst. 7 (1) (2016)
Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky
Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions. CoRR (2016)
Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo. CoRR (2016)
Andrey Kuzmin, Maxim Safronov, Oleg Bodin, Mikhail Petrovsky, Anton Sergeenkov
Device and software for mobile heart monitoring. FRUCT (2016)
Anton Ivaschenko, Nikolay Gorbachenko, Alexandr Kolsanov, Andrey Kuzmin
Surgery scene representation in 3D simulation training SDK. FRUCT (2016)
Andrey Kuzmin, Xiang Zhang, Jonathan Fincke, Micha Feigin, Brian W. Anthony, Victor S. Lempitsky
Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis. ISBI (2016)
Xiang Zhang, Jonathan Fincke, Andrey Kuzmin, Victor S. Lempitsky, Brian W. Anthony
A single element 3D ultrasound tomography system. EMBC (2015)
Andrey Kuzmin, Mathieu Luisier, Olaf Schenk
Fast Methods for Computing Selected Elements of the Green's Function in Massively Parallel Nanoelectronic Device Simulations. Euro-Par (2013)