Fast Methods for Computing Selected Elements of the Green's Function in Massively Parallel Nanoelectronic Device Simulations. - Andrey Kuzmin; Mathieu Luisier; Olaf Schenk (Euro-Par, 2013)

A single element 3D ultrasound tomography system. - Xiang Zhang; Jonathan Fincke; Andrey Kuzmin; Victor S. Lempitsky; Brian W. Anthony (EMBC, 2015)

Surgery scene representation in 3D simulation training SDK. - Anton Ivaschenko; Nikolay Gorbachenko; Alexandr Kolsanov; Andrey Kuzmin (FRUCT, 2016)

Device and software for mobile heart monitoring. - Andrey Kuzmin; Maxim Safronov; Oleg N. Bodin; Mikhail Petrovsky; Anton Sergeenkov (FRUCT, 2016)

Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis. - Andrey Kuzmin; Xiang Zhang; Jonathan Fincke; Micha Feigin; Brian W. Anthony; Victor S. Lempitsky (ISBI, 2016)

Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions. - Alexander Vakhitov; Andrey Kuzmin; Victor S. Lempitsky (CoRR, 2016)

Mobile Heart Monitoring System Prototype Based on the Texas Instruments Hardware: Energy Efficiency and J-point Detection. - Andrey Kuzmin; Maxim Safronov; Oleg N. Bodin; Mikhail Petrovsky; Anton Sergeenkov (Int. J. Embed. Real Time Commun. Syst., 2016)

Measurement of speech signal patterns under borderline mental disorders. - Alan Alimuradov; Alexander Tychkov; Andrey Kuzmin; Pyotr Churakov; Alexey Ageykin; Galina Vishnevskaya (FRUCT, 2017)

Mobile ECG monitoring system prototype and wavelet-based arrhythmia detection. - Andrey Kuzmin; Maxim Safronov; Oleg N. Bodin; Sergey Prokhorov; Anastasya Stolbova (FRUCT, 2017)

Investigation of models for prognosis of critical values of non-invasive electrophysiological parameters of pregnant women with abnormalities of heart rate. - Maxim Mitrokhin; Andrey Kuzmin; Nikita Dyatlov; Fagim Rakhmatullov; Natalia Mitrokhina; Alan Alimuradov; Alexander Tychkov (FRUCT, 2017)

End-to-End learning of cost-volume aggregation for real-time dense stereo. - Andrey Kuzmin; Dmitry Mikushin; Victor S. Lempitsky (MLSP, 2017)

HHT-based Analysis of ECG Signals of Patients with Borderline Mental Disorders. - Alexander Tychkov; Andrey Kuzmin; Alan Alimuradov; Alexey Ageykin; Vladimir Kalistratov; Svetlana Mitroshina (FRUCT, 2018)

Set2Model networks: Learning discriminatively to learn generative models. - Alexander Vakhitov; Andrey Kuzmin; Victor S. Lempitsky (Comput. Vis. Image Underst., 2018)

Mobile ECG Monitoring Device with Bioimpedance Measurement and Analysis. - Maxim Safronov; Andrey Kuzmin; Oleg N. Bodin; Viktor Baranov; Alexey Trofimov; Alexander Tychkov (FRUCT, 2019)

Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. - Andrey Kuzmin; Markus Nagel; Saurabh Pitre; Sandeep Pendyam; Tijmen Blankevoort; Max Welling (CoRR, 2019)

Improved CEEMDAN Based Speech Signal Analysis Algorithm for Mental Disorders Diagnostic System: Pitch Frequency Detection and Measurement. - Alan Alimuradov; Alexander Tychkov; Andrey Kuzmin; Pyotr Churakov; Alexey Ageykin; Galina Vishnevskaya (Int. J. Embed. Real Time Commun. Syst., 2019)

Reducing of Bioimpedance Influence on ECG by Correction Filter in Mobile Heart Monitoring System. - Maxim Safronov; Andrey Kuzmin; Oleg N. Bodin; Viktor Baranov; Olga Timokhina; Oleg Cheban (FRUCT, 2020)

Simulated Quantization, Real Power Savings. - Mart van Baalen; Brian Kahne; Eric Mahurin; Andrey Kuzmin; Andrii Skliar; Markus Nagel; Tijmen Blankevoort (CVPR Workshops, 2022)

Cyclical Pruning for Sparse Neural Networks. - Suraj Srinivas; Andrey Kuzmin; Markus Nagel; Mart van Baalen; Andrii Skliar; Tijmen Blankevoort (CVPR Workshops, 2022)

FP8 Quantization: The Power of the Exponent. - Andrey Kuzmin; Mart van Baalen; Yuwei Ren; Markus Nagel; Jorn Peters; Tijmen Blankevoort (NeurIPS, 2022)

Quantized Sparse Weight Decomposition for Neural Network Compression. - Andrey Kuzmin; Mart van Baalen; Markus Nagel; Arash Behboodi (CoRR, 2022)

Pruning vs Quantization: Which is Better? - Andrey Kuzmin; Markus Nagel; Mart van Baalen; Arash Behboodi; Tijmen Blankevoort (NeurIPS, 2023)

FP8 versus INT8 for efficient deep learning inference. - Mart van Baalen; Andrey Kuzmin; Suparna S. Nair; Yuwei Ren; Eric Mahurin; Chirag Patel; Sundar Subramanian; Sanghyuk Lee; Markus Nagel; Joseph Soriaga; Tijmen Blankevoort (CoRR, 2023)

GPTVQ: The Blessing of Dimensionality for LLM Quantization. - Mart van Baalen; Andrey Kuzmin; Markus Nagel; Peter Couperus; Cédric Bastoul; Eric Mahurin; Tijmen Blankevoort; Paul N. Whatmough (CoRR, 2024)