Andrey Kuzmin - RankMe

31 papers A* 2Misc 8Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Reasoning on the Edge. CoRR Yelysei Bondarenko, Thomas Hehn, Rob Hesselink, Romain Lepert, Fabio Valerio Massoli, Evgeny Mironov, Leyla Mirvakhabova, Tribhuvanesh Orekondy, Spyridon Stasis, Andrey Kuzmin, Anna Kuzina, Markus Nagel, Ankita Nayak, Corrado Rainone, Ork de Rooij, Paul N. Whatmough, Arash Behboodi, Babak Ehteshami Bejnordi
2026	J	`jnl`	Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck. CoRR Fabio Valerio Massoli, Andrey Kuzmin, Arash Behboodi
2024	J	`jnl`	GPTVQ: The Blessing of Dimensionality for LLM Quantization. CoRR Mart van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Cédric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul N. Whatmough
2023	J	`jnl`	FP8 versus INT8 for efficient deep learning inference. CoRR Mart van Baalen, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort
2023	A*	`conf`	Pruning vs Quantization: Which is Better? NeurIPS Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
2023	J	`jnl`	Pruning vs Quantization: Which is Better? CoRR Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
2022	—	`conf`	Cyclical Pruning for Sparse Neural Networks. CVPR Workshops Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
2022	J	`jnl`	Cyclical Pruning for Sparse Neural Networks. CoRR Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
2022	A*	`conf`	FP8 Quantization: The Power of the Exponent. NeurIPS Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
2022	J	`jnl`	FP8 Quantization: The Power of the Exponent. CoRR Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
2022	J	`jnl`	Quantized Sparse Weight Decomposition for Neural Network Compression. CoRR Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi
2022	—	`conf`	Simulated Quantization, Real Power Savings. CVPR Workshops Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort
2020	Misc	`conf`	Reducing of Bioimpedance Influence on ECG by Correction Filter in Mobile Heart Monitoring System. FRUCT Maxim Safronov, Andrey Kuzmin, Oleg N. Bodin, Viktor Baranov, Olga Timokhina, Oleg Cheban
2019	J	`jnl`	Improved CEEMDAN Based Speech Signal Analysis Algorithm for Mental Disorders Diagnostic System: Pitch Frequency Detection and Measurement. Int. J. Embed. Real Time Commun. Syst. Alan Alimuradov, Alexander Tychkov, Andrey Kuzmin, Pyotr Churakov, Alexey Ageykin, Galina Vishnevskaya
2019	Misc	`conf`	Mobile ECG Monitoring Device with Bioimpedance Measurement and Analysis. FRUCT Maxim Safronov, Andrey Kuzmin, Oleg N. Bodin, Viktor Baranov, Alexey Trofimov, Alexander Tychkov
2019	J	`jnl`	Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. CoRR Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling
2018	Misc	`conf`	HHT-based Analysis of ECG Signals of Patients with Borderline Mental Disorders. FRUCT Alexander Tychkov, Andrey Kuzmin, Alan Alimuradov, Alexey Ageykin, Vladimir Kalistratov, Svetlana Mitroshina
2018	J	`jnl`	Set2Model networks: Learning discriminatively to learn generative models. Comput. Vis. Image Underst. Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky
2017	—	`conf`	End-to-End learning of cost-volume aggregation for real-time dense stereo. MLSP Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky
2017	Misc	`conf`	Investigation of models for prognosis of critical values of non-invasive electrophysiological parameters of pregnant women with abnormalities of heart rate. FRUCT Maxim Mitrokhin, Andrey Kuzmin, Nikita Dyatlov, Fagim Rakhmatullov, Natalia Mitrokhina, Alan Alimuradov, Alexander Tychkov
2017	Misc	`conf`	Measurement of speech signal patterns under borderline mental disorders. FRUCT Alan Alimuradov, Alexander Tychkov, Andrey Kuzmin, Pyotr Churakov, Alexey Ageykin, Galina Vishnevskaya
2017	Misc	`conf`	Mobile ECG monitoring system prototype and wavelet-based arrhythmia detection. FRUCT Andrey Kuzmin, Maxim Safronov, Oleg N. Bodin, Sergey Prokhorov, Anastasya Stolbova
2017	—	`conf`	Set2Model Networks: Learning Discriminatively To Learn Generative Models. ICCV Workshops Andrey Kuzmin, Alexander Vakhitov, Victor S. Lempitsky
2016	Misc	`conf`	Device and software for mobile heart monitoring. FRUCT Andrey Kuzmin, Maxim Safronov, Oleg N. Bodin, Mikhail Petrovsky, Anton Sergeenkov
2016	J	`jnl`	End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo. CoRR Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky
2016	—	`conf`	Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis. ISBI Andrey Kuzmin, Xiang Zhang, Jonathan Fincke, Micha Feigin, Brian W. Anthony, Victor S. Lempitsky
2016	J	`jnl`	Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions. CoRR Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky
2016	J	`jnl`	Mobile Heart Monitoring System Prototype Based on the Texas Instruments Hardware: Energy Efficiency and J-point Detection. Int. J. Embed. Real Time Commun. Syst. Andrey Kuzmin, Maxim Safronov, Oleg N. Bodin, Mikhail Petrovsky, Anton Sergeenkov
2016	Misc	`conf`	Surgery scene representation in 3D simulation training SDK. FRUCT Anton Ivaschenko, Nikolay Gorbachenko, Alexandr Kolsanov, Andrey Kuzmin
2015	—	`conf`	A single element 3D ultrasound tomography system. EMBC Xiang Zhang, Jonathan Fincke, Andrey Kuzmin, Victor S. Lempitsky, Brian Anthony
2013	—	`conf`	Fast Methods for Computing Selected Elements of the Green's Function in Massively Parallel Nanoelectronic Device Simulations. Euro-Par Andrey Kuzmin, Mathieu Luisier, Olaf Schenk