Alexander Kovalenko

17 papers A 1C 2Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
CASCADE: Cross-scale Advective Super-resolution with Climate Assimilation and Downscaling Evolution.
CoRR
Alexander Kovalenko
2025 C conf
Bridging Global Language Models and Local Spatial Data: The JackDaw Approach to Context-Aware Agriculture and Rural Planning.
FedCSIS
Karel Charvát, Stein-Runar Bergheim, Raúl Palma, Adam Aron Rynkiewicz, Matús Botek, Alexander Kovalenko, Pavel Kordík, Antonín Kubícek, Markéta Kollerová, Sárka Horáková
2025 — conf
Denoising Diffusion Implicit Models for Laser-Plasma Accelerator Simulation Trained With Physical Constraint Loss.
ECML/PKDD (8)
Matej Jech, Gabriele Maria Grittani, Carlo Maria Lazzarini, Alexander Kovalenko
2025 J jnl
Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework.
CoRR
Eddi Weinwurm, Alexander Kovalenko
2025 — conf
Projective Pruning for Decoupling Weights.
ECML/PKDD (6)
Tommy Chu, Alexander Kovalenko
2024 C conf
AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images.
FedCSIS
Jirí Pihrt, Petr Simánek, Alexander Kovalenko, Jirí Kvapil, Karel Charvát
2024 — conf
Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detection.
ECML/PKDD (10)
Jakub Horenin, Veronika Magdanz, Islam S. M. Khalil, Anke Klingner, Alexander Kovalenko, Miroslav Cepek
2024 J jnl
Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction.
SN Comput. Sci.
Frantisek Koutenský, Petr Simánek, Miroslav Cepek, Alexander Kovalenko
2023 — conf
Decorelated Weight Initialization by Backpropagation.
ICANN (1)
Alexander Kovalenko, Pavel Kordík
2022 J jnl
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.
CoRR
Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov
2022 J jnl
Linear Self-Attention Approximation via Trainable Feedforward Kernel.
CoRR
Uladzislau Yorsh, Alexander Kovalenko
2022 — conf
Linear Self-attention Approximation via Trainable Feedforward Kernel.
ICANN (3)
Uladzislau Yorsh, Alexander Kovalenko
2021 J jnl
CodeDJ: Reproducible Queries over Large-Scale Software Repositories (Artifact).
Dagstuhl Artifacts Ser.
Petr Maj, Konrad Siek, Alexander Kovalenko, Jan Vitek
2021 A conf
CodeDJ: Reproducible Queries over Large-Scale Software Repositories.
ECOOP
Petr Maj, Konrad Siek, Alexander Kovalenko, Jan Vitek
2021 — conf
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks.
ICANN (2)
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
2021 J jnl
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks.
CoRR
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
2021 J jnl
Pureformer: Do We Even Need Attention?
CoRR
Uladzislau Yorsh, Alexander Kovalenko