Alexander Kovalenko

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Polynomial Kernels

Error Back Propagation

Software Repositories

Neural Architecture

Top Venues

Dagstuhl Artifacts Ser.

Publications

Frantisek Koutenský, Petr Simánek, Miroslav Cepek, Alexander Kovalenko
Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction. SN Comput. Sci. 5 (5) (2024)
Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. CoRR (2022)
Uladzislau Yorsh, Alexander Kovalenko
Linear Self-Attention Approximation via Trainable Feedforward Kernel. CoRR (2022)
Uladzislau Yorsh, Alexander Kovalenko
Linear Self-attention Approximation via Trainable Feedforward Kernel. ICANN (3) (2022)
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. CoRR (2021)
Petr Maj, Konrad Siek, Alexander Kovalenko, Jan Vitek
CodeDJ: Reproducible Queries over Large-Scale Software Repositories (Artifact). Dagstuhl Artifacts Ser. 7 (2) (2021)
Petr Maj, Konrad Siek, Alexander Kovalenko, Jan Vitek
CodeDJ: Reproducible Queries over Large-Scale Software Repositories. ECOOP (2021)
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. ICANN (2) (2021)
Uladzislau Yorsh, Alexander Kovalenko
Pureformer: Do We Even Need Attention? CoRR (2021)