Illia Horenko

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

Computationally Tractable

Financial Time Series

Maximum Entropy Principle

Top Venues

J. Comput. Sci.

Multiscale Model. Simul.

Publications

Tin Barisin, Illia Horenko
Towards Generalized Entropic Sparsification for Convolutional Neural Networks. CoRR (2024)
Edoardo Vecchi, Juraj Kardos, Malik Lechekhab, Andreas Wächter, Illia Horenko, Olaf Schenk
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning. J. Comput. Sci. 76 (2024)
Davide Bassetti, Lukás Pospísil, Illia Horenko
On Entropic Learning from Noisy Time Series in the Small Data Regime. Entropy 26 (7) (2024)
Illia Horenko, Lukás Pospísil
Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction. CoRR (2023)
Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Lukás Pospísil, Illia Horenko
Gauge-optimal approximate learning for small data classification problems. CoRR (2023)
Illia Horenko
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers. CoRR (2023)
Edoardo Vecchi, Lukás Pospísil, Steffen Albrecht, Terence J. O'Kane, Illia Horenko
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems. Neural Comput. 34 (5) (2022)
Illia Horenko, Lukás Pospísil, Edoardo Vecchi, Steffen Albrecht, Alexander Gerber, Beate Rehbock, Albrecht Stroh, Susanne Gerber
Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography. J. Imaging 8 (6) (2022)
Illia Horenko
Robust learning of data anomalies with analytically-solvable entropic outlier sparsification. CoRR (2021)
Susanne Gerber, Lukás Pospísil, Stanislav Sys, Charlotte Hewel, Ali Torkamani, Illia Horenko
Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics. Frontiers Artif. Intell. 4 (2021)
Illia Horenko
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning. Neural Comput. 32 (8) (2020)
Illia Horenko
On a scalable entropic breaching of the overfitting barrier in machine learning. CoRR (2020)
Illia Horenko, Ganna Marchenko, Patrick Gagliardini
On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle. CoRR (2020)
Ganna Marchenko, Patrick Gagliardini, Illia Horenko
Towards a Computationally Tractable Maximum Entropy Principle for Nonstationary Financial Time Series. SIAM J. Financial Math. 9 (4) (2018)
Olga Kaiser, Dimitri Igdalov, Illia Horenko
Statistical Regression Analysis of Threshold Excesses with Systematically Missing Covariates. Multiscale Model. Simul. 13 (2) (2015)
Jana de Wiljes, Andrew Majda, Illia Horenko
An Adaptive Markov Chain Monte Carlo Approach to Time Series Clustering of Processes with Regime Transition Behavior. Multiscale Model. Simul. 11 (2) (2013)
Illia Horenko
On Analysis of Nonstationary Categorical Data Time Series: Dynamical Dimension Reduction, Model Selection, and Applications To Computational Sociology. Multiscale Model. Simul. 9 (4) (2011)
Lars Putzig, Dirk Becherer, Illia Horenko
Optimal Allocation of a Futures Portfolio Utilizing Numerical Market Phase Detection. SIAM J. Financial Math. 1 (1) (2010)
Illia Horenko
Finite Element Approach to Clustering of Multidimensional Time Series. SIAM J. Sci. Comput. 32 (1) (2010)
Illia Horenko, Christof Schütte
On Metastable Conformational Analysis of Nonequilibrium Biomolecular Time Series. Multiscale Model. Simul. 8 (2) (2009)
Illia Horenko, Rupert Klein, Stamen Dolaptchiev, Christof Schütte
Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model Reduction for Time Series Analysis. Multiscale Model. Simul. 6 (4) (2008)
Illia Horenko, Evelyn Dittmer, Filip Lankas, John Maddocks, Philipp Metzner, Christof Schütte
Macroscopic Dynamics of Complex Metastable Systems: Theory, Algorithms, and Application to B-DNA. SIAM J. Appl. Dyn. Syst. 7 (2) (2008)
Illia Horenko, Christof Schütte
Likelihood-Based Estimation of Multidimensional Langevin Models and Its Application to Biomolecular Dynamics. Multiscale Model. Simul. 7 (2) (2008)
Alexander Fischer, Sonja Waldhausen, Illia Horenko, Eike Meerbach, Christof Schütte
Identification of biomolecular conformations from incomplete torsion angle observations by hidden markov models. J. Comput. Chem. 28 (15) (2007)
Illia Horenko, Johannes Schmidt-Ehrenberg, Christof Schütte
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models. CompLife (2006)
Illia Horenko, Evelyn Dittmer, Alexander Fischer, Christof Schütte
Automated Model Reduction for Complex Systems Exhibiting Metastability. Multiscale Model. Simul. 5 (3) (2006)
Andrea Y. Weiße, Illia Horenko, Wilhelm Huisinga
Adaptive Approach for Modelling Variability in Pharmacokinetics. CompLife (2006)
Illia Horenko, Sönke Lorenz, Christof Schütte, Wilhelm Huisinga
Adaptive approach for nonlinear sensitivity analysis of reaction kinetics. J. Comput. Chem. 26 (9) (2005)
Illia Horenko, Martin Weiser
Adaptive integration of molecular dynamics. J. Comput. Chem. 24 (15) (2003)