Alexander Kovalenko

According to our database, Alexander Kovalenko authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework.

Eddi Weinwurm, Alexander Kovalenko

CoRR, September, 2025

Denoising Diffusion Implicit Models for Laser-Plasma Accelerator Simulation Trained With Physical Constraint Loss.

Matej Jech, Gabriele Maria Grittani, Carlo Maria Lazzarini, Alexander Kovalenko

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025

Projective Pruning for Decoupling Weights.

Tommy Chu, Alexander Kovalenko

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Bridging Global Language Models and Local Spatial Data: The JackDaw Approach to Context-Aware Agriculture and Rural Planning.

Karel Charvát, Stein-Runar Bergheim, Raúl Palma, Adam Aron Rynkiewicz, Matús Botek, Alexander Kovalenko, Pavel Kordík, Antonín Kubícek, Markéta Kollerová, Sárka Horáková

Proceedings of the 20th Conference on Computer Science and Intelligence Systems, 2025

2024

Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction.

Frantisek Koutenský, Petr Simánek, Miroslav Cepek, Alexander Kovalenko

SN Comput. Sci., June, 2024

Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detection.

Jakub Horenin, Veronika Magdanz, Islam S. M. Khalil, Anke Klingner, Alexander Kovalenko, Miroslav Cepek

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images.

Jirí Pihrt, Petr Simánek, Alexander Kovalenko, Jirí Kvapil, Karel Charvát

Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023

Decorelated Weight Initialization by Backpropagation.

Alexander Kovalenko, Pavel Kordík

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.

Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov

CoRR, 2022

Linear Self-attention Approximation via Trainable Feedforward Kernel.

Uladzislau Yorsh, Alexander Kovalenko

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

CodeDJ: Reproducible Queries over Large-Scale Software Repositories (Artifact).

Petr Maj, Konrad Siek, Alexander Kovalenko, Jan Vitek

Dagstuhl Artifacts Ser., 2021

Pureformer: Do We Even Need Attention?

Uladzislau Yorsh, Alexander Kovalenko

CoRR, 2021

Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks.

Alexander Kovalenko, Pavel Kordík, Magda Friedjungová

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

CodeDJ: Reproducible Queries over Large-Scale Software Repositories.

Petr Maj, Konrad Siek, Alexander Kovalenko, Jan Vitek

Proceedings of the 35th European Conference on Object-Oriented Programming, 2021