@IDA_CTU

Intelligent Data Analysis Lab | FEE CTU

 Prague, Czech Republic
ida.fel.cvut.cz
Joined January 2019
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  • Following32
  • Followers79
11Media
"Optimal Sizing and Siting of Energy Storage Systems Under Security-Constrained Hydrothermal Unit Commitment with Uncertainties" by L. S. Nepomuceno, E. J. de Oliveira, L. W. de Oliveira, and our V. Kungurtsev was accepted for publication in the Journal of Energy Storage.
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"Towards Real Time Control of Water Engineering with Nonlinear Hyperbolic Partial Differential Equations" by F. DiFonzo, M. Holst, M. Kimiaei, our V. Kungurtsev, and S. Qiu, will be published in the Journal of Computational Science. Preprint: arxiv.org/abs/2512.14387

Towards Real Time Control of Water Engineering with Nonlinear...

This paper examines aspirational requirements for software addressing mixed-integer optimization problems constrained by the nonlinear Shallow Water partial differential equations (PDEs),...

arxiv.org
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“A Sequential Quadratic Programming Method for Optimization with Expectation Objective Functions, Deterministic Inequality Constraints and Robust Subproblems” by S. Qiu and our V. Kungurtsev has been accepted to IMA Journal of Numerical Analysis. Preprint: arxiv.org/abs/2302.07947

A Sequential Quadratic Programming Method for Optimization with...

In this paper, a robust sequential quadratic programming method for constrained optimization is generalized to problem with an {expectation} objective function {and} deterministic equality and...

arxiv.org
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"On lower bounds for hypergeometric tails" by our Jianhang AI and Christos Pelekis will be published in Statistics & Probability Letters. Full text: doi.org/10.1016/j.spl.2026.1…
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"Restarting two-term nonlinear conjugate gradient methods based on a finite precision arithmetic analysis" by M. Kimiaei, S. Babaie-Kafaki, our V. Kungurtsev, and M. Yousefi will be published in Journal of Computational and Applied Mathematics. Full text: doi.org/10.1016/j.cam.2026.1…
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"Contemporary data-driven innovations in peptide-based therapeutic design" by L. Priyadarsinee, our V. Kungurtsev, V. Kumar, B. Chatterjee, G. N. Sastry, and N. A. Murugan has been published in Briefings in Bioinformatics. Full text: doi.org/10.1093/bib/bbag220
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"Direct-search methods for decentralized blackbox optimization" by Bergou, Diouane, Kungurtsev, and Royer has been accepted for publication in Optimization Methods and Software. Full text: arxiv.org/abs/2504.04269

Direct-search methods for decentralized blackbox optimization

Derivative-free optimization algorithms are particularly useful for tackling blackbox optimization problems where the objective function arises from complex and expensive procedures that preclude...

arxiv.org
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"An Alternating Direction Method of Multipliers for Topology Optimization" by H. Choudhary, S. Leyffer, and D. Yang was presented at ICNAAM 2025. Full text: arxiv.org/abs/2509.19888

An Alternating Direction Method of Multipliers for Topology Optimization

We consider a class of integer-constrained optimization problems governed by partial differential equation (PDE) constraints and regularized via total variation (TV) in the context of topology...

arxiv.org
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"The Stochastic Ravine Accelerated Gradient Method with General Extrapolation Coefficients" by Hedy Attouch, Jalal Fadili, and our Vyacheslav Kungurtsev has been accepted for publication at the Journal  of Optimization Theory and Applications. Full text: arxiv.org/pdf/2403.04860
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"Archetypal Analysis of Deceased Donor Kidneys: A Molecular Approach for Posttransplant Outcomes" by Petra Hrubá, Ondřej Viklický, our Jiří Kléma, and collaborators, has been published in the American Journal of Transplantation. Full text: doi.org/10.1016/j.ajt.2025.0…
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"Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence" by V. Kůla and colleagues has been accepted to AAAI 2026. Full text: arxiv.org/abs/2511.09174

Tractable Weighted First-Order Model Counting with Bounded...

The Weighted First-Order Model Counting Problem (WFOMC) asks to compute the weighted sum of models of a given first-order logic sentence over a given domain. Conditioning WFOMC on evidence --...

arxiv.org
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1/2 "ReDeLEx: Relational Deep Learning Exploration" by Peleška and Šír has been accepted and recently presented at ECML-PKDD 2025. Full text: arxiv.org/abs/2506.22199

REDELEX: A Framework for Relational Deep Learning Exploration

Relational databases (RDBs) are widely regarded as the gold standard for storing structured information. Consequently, predictive tasks leveraging this data format hold significant application...

arxiv.org
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2/2 Jakub Peleška also presented "Task-Agnostic Contrastive Pretraining for Relational Deep Learning" (also by Peleška and Šír) at the 22nd International Workshop on Mining and Learning with Graphs. Full text: arxiv.org/abs/2506.22530

Task-Agnostic Contrastive Pretraining for Relational Deep Learning

Relational Deep Learning (RDL) is an emerging paradigm that leverages Graph Neural Network principles to learn directly from relational databases by representing them as heterogeneous graphs....

arxiv.org
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"Dysregulation of transposable elements and PIWI-interacting RNAs in myelodysplastic neoplasms" by Krejcik et al. (including our Jiří Kléma) has been published in BMC Biomarker Research. Full text: biomarkerres.biomedcentral.c…

Dysregulation of transposable elements and PIWI-interacting RNAs in myelodysplastic neoplasms

Biomarker Research - Myelodysplastic neoplasms (MDS) are heterogeneous hematopoietic disorders characterized by ineffective hematopoiesis and genome instability. Mobilization of transposable...

link.springer.com
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"An Algorithm to Calculate the p-Value of the Monge-Elkan Distance" by Ryšavý and Železný has been published in the Journal of Computational Biology. Full text: liebertpub.com/doi/10.1089/c…
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"circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data" by Ryšavý, Anuarbekov, Dostálová Merkerová, and Kléma has been published in BMC BioData Mining. Full text: biodatamining.biomedcentral.…

circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data

BioData Mining - Circular RNAs play a crucial role in cell development and serve as biomarkers in many diseases. Nevertheless, the function of many circular RNAs remains unknown. This function can...

link.springer.com
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"Geometric Deep Learning for the Rubik’s Cube Group" by Krutský and Šír has been accepted for publication in IEEE TNNLS. Full text: doi.org/10.1109/TNNLS.2025.3…

Geometric Deep Learning for the Rubik’s Cube Group

The Rubik’s cube, a widely recognized combinatorial puzzle with an astronomically vast state space, has been the subject of various research experiments with neural networks used as heuristic...

ieeexplore.ieee.org
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"Tabular Transformers Meet Relational Databases" by Peleška and Šír has been published in ACM TIST. Full text: dl.acm.org/doi/10.1145/37499…

Tabular Transformers Meet Relational Databases | ACM Transactions on Intelligent Systems and...

Transformer models have continuously expanded into all machine learning domains convertible to the underlying sequence-to-sequence representation, including tabular data. However, while ubiquitous,...

dl.acm.org
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"Utilizing RNA-seq data in monotone iterative generalized linear model to elevate prior knowledge quality of the circRNA-miRNA-mRNA regulatory axis" by Anuarbekov and Kléma has been published in BMC Bioinformatics. Full text: bmcbioinformatics.biomedcent…

Utilizing RNA-seq data in monotone iterative generalized linear model to elevate prior knowledge...

BMC Bioinformatics - Current experimental data on RNA interactions remain limited, particularly for non-coding RNAs, many of which have only recently been discovered and operate within complex...

link.springer.com
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"Leveraging Gradient Noise for Detection and Filtering of Byzantine Clients" by Kungurtsev and colleagues, exploring the use of higher order moment statistics for identifying Byzantine clients in distributed learning, has been accepted for publication in IEEE Access
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