Illia Horenko

According to our database, Illia Horenko authored at least 29 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

On Entropic Learning from Noisy Time Series in the Small Data Regime.

Davide Bassetti, Lukás Pospísil, Illia Horenko

Entropy, July, 2024

Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning.

Edoardo Vecchi, Juraj Kardos, Malik Lechekhab, Andreas Wächter, Illia Horenko, Olaf Schenk

J. Comput. Sci., 2024

Towards Generalized Entropic Sparsification for Convolutional Neural Networks.

Tin Barisin, Illia Horenko

CoRR, 2024

2023

Gauge-optimal approximate learning for small data classification problems.

Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Lukás Pospísil, Illia Horenko

CoRR, 2023

On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers.

Illia Horenko

CoRR, 2023

Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction.

Illia Horenko, Lukás Pospísil

CoRR, 2023

2022

eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems.

Edoardo Vecchi, Lukás Pospísil, Steffen Albrecht, Terence J. O'Kane, Illia Horenko

Neural Comput., 2022

Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography.

Illia Horenko, Lukás Pospísil, Edoardo Vecchi, Steffen Albrecht, Alexander Gerber, Beate Rehbock, Albrecht Stroh, Susanne Gerber

J. Imaging, 2022

2021

Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics.

Susanne Gerber, Lukás Pospísil, Stanislav Sys, Charlotte Hewel, Ali Torkamani, Illia Horenko

Frontiers Artif. Intell., 2021

Robust learning of data anomalies with analytically-solvable entropic outlier sparsification.

Illia Horenko

CoRR, 2021

2020

On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning.

Illia Horenko

Neural Comput., 2020

On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle.

Illia Horenko, Ganna Marchenko, Patrick Gagliardini

CoRR, 2020

On a scalable entropic breaching of the overfitting barrier in machine learning.

Illia Horenko

CoRR, 2020

2018

Towards a Computationally Tractable Maximum Entropy Principle for Nonstationary Financial Time Series.

Ganna Marchenko, Patrick Gagliardini, Illia Horenko

SIAM J. Financial Math., 2018

2015

Statistical Regression Analysis of Threshold Excesses with Systematically Missing Covariates.

Olga Kaiser, Dimitri Igdalov, Illia Horenko

Multiscale Model. Simul., 2015

2013

An Adaptive Markov Chain Monte Carlo Approach to Time Series Clustering of Processes with Regime Transition Behavior.

Jana de Wiljes, Andrew Majda, Illia Horenko

Multiscale Model. Simul., 2013

2011

On Analysis of Nonstationary Categorical Data Time Series: Dynamical Dimension Reduction, Model Selection, and Applications To Computational Sociology.

Illia Horenko

Multiscale Model. Simul., 2011

2010

Finite Element Approach to Clustering of Multidimensional Time Series.

Illia Horenko

SIAM J. Sci. Comput., 2010

Optimal Allocation of a Futures Portfolio Utilizing Numerical Market Phase Detection.

Lars Putzig, Dirk Becherer, Illia Horenko

SIAM J. Financial Math., 2010

2009

On Metastable Conformational Analysis of Nonequilibrium Biomolecular Time Series.

Illia Horenko, Christof Schütte

Multiscale Model. Simul., 2009

2008

Macroscopic Dynamics of Complex Metastable Systems: Theory, Algorithms, and Application to B-DNA.

Illia Horenko, Evelyn Dittmer, Filip Lankas, John Maddocks, Philipp Metzner, Christof Schütte

SIAM J. Appl. Dyn. Syst., 2008

Likelihood-Based Estimation of Multidimensional Langevin Models and Its Application to Biomolecular Dynamics.

Illia Horenko, Christof Schütte

Multiscale Model. Simul., 2008

Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model Reduction for Time Series Analysis.

Illia Horenko, Rupert Klein, Stamen Dolaptchiev, Christof Schütte

Multiscale Model. Simul., 2008

2007

Identification of biomolecular conformations from incomplete torsion angle observations by hidden markov models.

Alexander Fischer, Sonja Waldhausen, Illia Horenko, Eike Meerbach, Christof Schütte

J. Comput. Chem., 2007

2006

Automated Model Reduction for Complex Systems Exhibiting Metastability.

Illia Horenko, Evelyn Dittmer, Alexander Fischer, Christof Schütte

Multiscale Model. Simul., 2006

Adaptive Approach for Modelling Variability in Pharmacokinetics.

Andrea Y. Weiße, Illia Horenko, Wilhelm Huisinga

Proceedings of the Computational Life Sciences II, 2006

Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models.

Illia Horenko, Johannes Schmidt-Ehrenberg, Christof Schütte

Proceedings of the Computational Life Sciences II, 2006

2005

Adaptive approach for nonlinear sensitivity analysis of reaction kinetics.

Illia Horenko, Sönke Lorenz, Christof Schütte, Wilhelm Huisinga

J. Comput. Chem., 2005

2003

Adaptive integration of molecular dynamics.

Illia Horenko, Martin Weiser

J. Comput. Chem., 2003