IDA

Intelligent Data Analysis Lab | FEE CTU

[IDA @IDA_CTU]

"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: https://t.co/T6tb820v0p

[IDA @IDA_CTU]

"An Alternating Direction Method of Multipliers for Topology Optimization" by H. Choudhary, S. Leyffer, and D. Yang was presented at ICNAAM 2025. Full text: https://t.co/p4qkTnxtzm

[IDA @IDA_CTU]

"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: https://t.co/3qMGMrX80z

[IDA @IDA_CTU]

"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: https://t.co/h9zT2wMqvf

[IDA @IDA_CTU]

"Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence" by V. Kůla and colleagues has been accepted to AAAI 2026. Full text: https://t.co/raL2Y9Uxl6

[IDA @IDA_CTU]

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: https://t.co/A4ljMKicsQ

[IDA @IDA_CTU]

1/2 "ReDeLEx: Relational Deep Learning Exploration" by Peleška and Šír has been accepted and recently presented at ECML-PKDD 2025. Full text: https://t.co/I5AHc7JqGY

[IDA @IDA_CTU]

"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: https://t.co/8MbQEKofLy

[IDA @IDA_CTU]

"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: https://t.co/LdsVx5uPkT

[IDA @IDA_CTU]

"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: https://t.co/hAL9Yc57Hs

[IDA @IDA_CTU]

"Geometric Deep Learning for the Rubik’s Cube Group" by Krutský and Šír has been accepted for publication in IEEE TNNLS. Full text: https://t.co/SWQDPCTCkD

[IDA @IDA_CTU]

"Tabular Transformers Meet Relational Databases" by Peleška and Šír has been published in ACM TIST. Full text: https://t.co/VCcnJ2wj6I

[IDA @IDA_CTU]

"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: https://t.co/un9OH0KWGx

[IDA @IDA_CTU]

"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

[IDA @IDA_CTU]

"Probabilistic Iterative Hard Thresholding for Sparse Learning", by Kungurtsev and co-authors, presenting a method for sparsity-promoting estimation with strong convergence guarantees, has been accepted for publication in Computational Optimization and Applications

[IDA @IDA_CTU]

"Optimal Control of Two-Phase Membrane Problem" by Bozorgnia and Kungurtsev, studying the challenging obstacle problem exhibiting operator nonsmoothness, has been accepted for publication in the journal of Applied Mathematics and Optimization!

[IDA @IDA_CTU]

See @DrKungOptimizer 's new comprehensive preprint on AI Ethics https://t.co/eZ7kfQ1xNO

[IDA @IDA_CTU]

"Truss topology design under harmonic loads: Peak power minimization with semidefinite programming" by Shenyuan Ma et al, including IDA's Vyacheslav Kungurtsev @DrKungOptimizer, has been accepted for publication in Structural and Multidisciplinary Optimization!

[IDA @IDA_CTU]

"State Encodings for GNN-based Lifted Planners" by R. Horcik, our @GustavSheer, V. Šimek, and T. Pevný, providing a comparative study of diverse state encodings for graph neural networks in classical planning, was accepted for oral presentation (top 20%) at AAAI25! @RealAAAI

[IDA @IDA_CTU]

"A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems" by Qi Wang, Frank E. Curtis, Daniel P. Robinson, and our V. Kungurtsev @DrKungOptimizer, has been accepted for publication in the SIAM Journal of Optimization!