Alex Yakovlev

Altai State Medical University — Russia

Engineering · Physical Sciences

36h-index7.3kcitations787works0.92yr avg
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Research Topics

Low-power high-performance VLSI design(191), Embedded Systems Design Techniques(179), Parallel Computing and Optimization Techniques(122), Interconnection Networks and Systems(116), Formal Methods in Verification(112)

Publications786 total

Distributed Places and Safe Net Reduction
arXiv (Cornell University)·2025Open Access
LatentGraph: From Latent States to Rule-based Expressions for Explainable Financial Forecasting
2025Open Access
Event-Driven Digital-Time-Domain Inference Architectures for Tsetlin Machines
arXiv (Cornell University)·2025Open Access
Flexibility Extension of the Event Picking Service for the ATLAS Experiment
Physics of Particles and Nuclei·2025
Production of the Configuration Information System for the BM@N Experiment
Physics of Particles and Nuclei·2025
Fast and Compact Tsetlin Machine Inference on CPUs Using Instruction-Level Optimization
arXiv (Cornell University)·2025Open Access
A Tsetlin Machine Image Classification Accelerator on a Flexible Substrate
arXiv (Cornell University)·2025Open Access
Topological Valley Photonic Waveguides: Scattering Matrix Evaluation for Linear Computing
Advanced Photonics Research·2025· 1 citedOpen Access
Electromagnetic wave-based quasi-digital linear logic operations
2025
Explainable Data-Driven Battery State of Charge Estimation
2025
An All-Digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator
IEEE Transactions on Circuits and Systems I Regular Papers·2025· 2 cited
Multipolar Hybrid Stimulation for Visual Prostheses: Enhancing Resolution and Specificity
2025
Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs
2025· 1 cited
A Hybrid Chip System Design for Visual Prosthetics
2025
Uncertainty Quantification in the Tsetlin Machine
ArXiv.org·2025Open Access
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine
2025· 1 cited
Efficient FPGA Implementation of Time-Domain Popcount for Low-Complexity Machine Learning
2025
Asynchronous Design of a Bitwise Elimination Argmax via High-Level Modeling in GraphRack
2025
Dynamic Tsetlin Machine Accelerators for On-Chip Training Using FPGAs
IEEE Transactions on Circuits and Systems I Regular Papers·2025· 4 cited
Efficient FPGA Implementation of Time-Domain Popcount for Low-Complexity Machine Learning
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Michael Kishinevsky(11), Luciano Lavagno(10), Jordi Cortadella(9), A. Kondratyev(9), Rishad Shafik(7), D.J. Kinniment(6), Danil Sokolov(5), A. Bystrov(5), Terrence Mak(3), Kin‐Fai Tong(3), Tousif Rahman(3), Ole‐Christoffer Granmo(3), A. L. Semenov(3), Victor Khomenko(3), Maciej Koutny(3), V. Varshavsky(2), Julian Murphy(2), Ammar Karkar(2), Issa Qiqieh(2), Ghaith Tarawneh(2)