I. Horenko

发表

Generator estimation of Markov jump processes based on incomplete observations nonequidistant in time.

Philipp Metzner, I. Horenko, C. Schütte, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Hierarchical analysis of conformational dynamics in biomolecules: transition networks of metastable states.

Jeremy C. Smith, I. Horenko, C. Schütte, 2007, The Journal of chemical physics.

DISCRETE NONHOMOGENEOUS AND NONSTATIONARY LOGISTIC AND MARKOV REGRESSION MODELS FOR SPATIOTEMPORAL DATA WITH UNRESOLVED EXTERNAL INFLUENCES

Illia Horenko, I. Horenko, J. Wiljes, 2014 .

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

I. Horenko, T. O'Kane, Edoardo Vecchi, 2022, Neural Computation.

Systematic metastable atmospheric regime identification in an AGCM

Andrew J. Majda, Illia Horenko, Rupert Klein, 2009 .

Quantum-classical Liouville approach to molecular dynamics: Surface hopping Gaussian phase-space packets

I. Horenko, C. Schütte, B. Schmidt, 2002 .

Fully adaptive propagation of the quantum-classical Liouville equation.

I. Horenko, C. Schütte, M. Weiser, 2004, The Journal of chemical physics.

Analysis of persistent nonstationary time series and applications

Illia Horenko, Philipp Metzner, Lars Putzig, 2012 .

Supervised Learning Approaches to Classify Sudden Stratospheric Warming Events

I. Horenko, K. Matthes, C. Blume, 2012 .

Dimension Reduction for Time Series with Hidden Phase Transitions and Economic Applications

Illia Horenko, I. Horenko, C. Schütte, 2008 .

Supplement for the paper ” Towards a direct and scalable identification of reduced models for categorical processes ”

I. Horenko, S. Gerber, Susanne Gerber, 2017 .

Blind model reduction for high-dimensional time-dependent data

I. Horenko, C. Hartmann, 2006 .

Scalable detection of latent patterns across scales -- from nanomagnets to astrophysics

I. Horenko, T. O'Kane, K. Everschor-Sitte, 2019 .

Decadal variability in an OGCM Southern Ocean: Intrinsic modes, forced modes and metastable states

I. Horenko, T. O'Kane, J. Risbey, 2013 .

A Theoretical Model for Molecules Interacting with Intense Laser Pulses

Illia Horenko, Christof Schütte, I. Horenko, 2001 .

Quantum-Classical Liouville Approach to Molecular Dynamics

I. Horenko, C. Schütte, B. Schmidt, 2002 .

On the Dynamics of Austral Heat Waves

I. Horenko, T. O'Kane, C. Franzke, 2018 .

The metastability of the mid-latitude Southern Hemisphere circulation

I. Horenko, T. O'Kane, C. Franzke, 2013 .

Changes in the metastability of the midlatitude Southern Hemisphere circulation and the utility of nonstationary cluster analysis and split-flow blocking indices as diagnostic tools

I. Horenko, T. O'Kane, C. Franzke, 2013 .

Systematic attribution of observed Southern Hemisphere circulation trends to external forcing and internal variability

I. Horenko, T. O'Kane, C. Franzke, 2015 .

On identification of nonstationary factor models and its application to atmospherical data analysis ∗

I. Horenko, 2009 .

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

I. Horenko, A. Stroh, S. Gerber, 2022, J. Imaging.

Dynamics of Associations Between Single Nucleotide Polymorphisms in Relation to Alzheimer's Disease Captured with a New Measure of Linkage Disequilibrium

I. Horenko, S. Gerber, D. Fournier, 2018 .

Synchronization of Great Subduction Megathrust Earthquakes: Insights From Scale Model Analysis

I. Horenko, R. Kornhuber, M. Rosenau, 2019, Journal of Geophysical Research: Solid Earth.

Southern Ocean Intrinsic and Forced Modes of Low Frequency

I. Horenko, T. O'Kane, J. Risbey, 2012 .

On memory, dimension, and atmospheric teleconnections

I. Horenko, T. O'Kane, C. Franzke, 2017 .

Research Article. On memory, dimension, and atmospheric teleconnections

I. Horenko, T. O'Kane, C. Franzke, 2017 .

A Stochastic Closure Approach for LES with Application to Turbulent Channel Flow

Philipp Metzner, I. Horenko, C. Munz, 2015 .

On the dynamics of persistent states and their secular trends in the waveguides of the Southern Hemisphere troposphere

I. Horenko, T. O'Kane, C. Franzke, 2016, Climate Dynamics.

I. Horenko, S. Gerber, M. Müller, 2022, Cells.

Low-cost scalable discretization, prediction, and feature selection for complex systems

S Gerber, L Pospisil, M Navandar, 2020, Science Advances.

Low-cost scalable discretization, prediction, and feature selection for complex systems

Susanne Gerber, Illia Horenko, Lukas Pospisil, 2019, Science Advances.

Improving clustering by imposing network information

Susanne Gerber, Illia Horenko, I. Horenko, 2015, Science Advances.

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

I. Horenko, A. Torkamani, S. Gerber, 2022, Frontiers in Artificial Intelligence.

Optimal Allocation of a Futures Portfolio Utilizing Numerical Market Phase Detection

Illia Horenko, Dirk Becherer, Lars Putzig, 2010, SIAM J. Financial Math..

Imputation of posterior linkage probability relations reveals a significant influence of structural 3D constraints on linkage disequilibrium

Illia Horenko, David Fournier, Susanne Gerber, 2018, bioRxiv.

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

Alexander Fischer, Illia Horenko, Christof Schütte, 2007, J. Comput. Chem..

Nonstationarity in Multifactor Models of Discrete Jump Processes, Memory, and Application to Cloud Modeling

Illia Horenko, I. Horenko, 2011 .

Clustering and control for adaptation uncovers time-warped spike time patterns in cortical networks in vivo

James B. Isbister, I. Horenko, H. Luhmann, 2021, Scientific Reports.

On cheap entropy-sparsified regression learning

I. Horenko, A. Wächter, O. Schenk, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Quality-preserving low-cost probabilistic 3D denoising with applications to Computed Tomography

I. Horenko, A. Stroh, S. Gerber, 2021, bioRxiv.

A scalable approach to the computation of invariant measures for high-dimensional Markovian systems

Frank Noé, Susanne Gerber, Illia Horenko, 2018, Scientific Reports.

Multidimensional classical Liouville dynamics with quantum initial conditions

Illia Horenko, Christof Schütte, I. Horenko, 2002 .

Data-based parameter estimation of generalized multidimensional Langevin processes.

Carsten Hartmann, Illia Horenko, Christof Schütte, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

Illia Horenko, Jana de Wiljes, Andrew Majda, 2013, Multiscale Model. Simul..

Finite Element Approach to Clustering of Multidimensional Time Series

Illia Horenko, I. Horenko, 2010, SIAM J. Sci. Comput..

On Metastable Conformational Analysis of Nonequilibrium Biomolecular Time Series

Illia Horenko, Christof Schütte, I. Horenko, 2010, Multiscale Model. Simul..

On Robust Estimation of Low-Frequency Variability Trends in Discrete Markovian Sequences of Atmospheric Circulation Patterns

Illia Horenko, I. Horenko, 2009 .

Metastability of Northern Hemisphere Teleconnection Modes

Illia Horenko, James S. Risbey, Christian L. E. Franzke, 2014 .

On the Identification of Nonstationary Factor Models and Their Application to Atmospheric Data Analysis

Illia Horenko, I. Horenko, 2010 .

A deeper look into natural sciences with physics-based and data-driven measures

I. Horenko, S. Gerber, K. Everschor-Sitte, 2021, iScience.

On Simultaneous Data-Based Dimension Reduction and Hidden Phase Identification

Illia Horenko, I. Horenko, 2008 .

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

Illia Horenko, I. Horenko, 2020, Neural Computation.

Biological systems: Applications and perspectives

Illia Horenko, Christof Schütte, Delmar S. Larsen, 2007, Analysis and Control of Ultrafast Photoinduced Reactions.

Adaptive integration of molecular dynamics

Illia Horenko, Martin Weiser, I. Horenko, 2003, J. Comput. Chem..

On inference of statistical regression models for extreme events based on incomplete observation data

Illia Horenko, Olga Kaiser, I. Horenko, 2014 .

Metastable Decomposition of High-Dimensional Meteorological Data with Gaps

Illia Horenko, Rupert Klein, Igor I. Mokhov, 2008 .

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

Illia Horenko, Christof Schütte, Rupert Klein, 2008, Multiscale Model. Simul..

Physically-inspired computational tools for sharp detection of material inhomogeneities in magnetic imaging

I. Horenko, K. Everschor-Sitte, D. Rodrigues, 2019, 1907.04601.

On clustering of non-stationary meteorological time series

Illia Horenko, I. Horenko, 2010 .

Adaptive Integration of Multidimensional Molecular Dynamics with Quantum Initial Conditions

I. Horenko, M. Weiser, 2002 .

Automated Model Reduction for Complex Systems Exhibiting Metastability

Alexander Fischer, Illia Horenko, Christof Schütte, 2006, Multiscale Model. Simul..

Reduced Stochastic Models for Complex Molecular Systems

Illia Horenko, Christof Schütte, Evelyn Dittmer, 2006 .

Low frequency variability in an coupled ocean-sea ice general circulation model of the Southern Ocean

I. Horenko, J. Risbey, B. Sloyan, 2013 .

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

Illia Horenko, Christof Schütte, I. Horenko, 2008, Multiscale Model. Simul..

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

Illia Horenko, Christof Schütte, Johannes Schmidt-Ehrenberg, 2006, CompLife.

Entropic approximate learning for financial decision-making in the small data regime

I. Horenko, P. Gagliardini, Edoardo Vecchi, 2023, Research in International Business and Finance.

Adaptive Approach for Modelling Variability in Pharmacokinetics

Wilhelm Huisinga, Illia Horenko, Andrea Y. Weiße, 2006, CompLife.

Adaptive approach for nonlinear sensitivity analysis of reaction kinetics

Wilhelm Huisinga, Illia Horenko, Christof Schütte, 2005, J. Comput. Chem..

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

Illia Horenko, Patrick Gagliardini, Ganna Marchenko, 2020, ArXiv.

On a scalable nonparametric denoising of time series signals

Illia Horenko, Patrick Gagliardini, William Sawyer, 2018 .

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

I. Horenko, L. Pospíšil, 2023, arXiv.org.

Information theory, model error, and predictive skill of stochastic models for complex nonlinear systems

Andrew J. Majda, Illia Horenko, Dimitrios Giannakis, 2012 .

Multiscale Modelling in Molecular Dynamics: Biomolecular Conformations as Metastable States

Illia Horenko, Evelyn Dittmer, I. Horenko, 2006 .

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

Illia Horenko, Christof Schütte, Philipp Metzner, 2008, SIAM J. Appl. Dyn. Syst..

Metastable Conformational Structure and Dynamics: Peptides between Gas Phase and Aqueous Solution

Illia Horenko, I. Horenko, C. Schütte, 2007 .

Cheap robust learning of data anomalies with analytically solvable entropic outlier sparsification pdf

Illia Horenko, I. Horenko, 2021, Proceedings of the National Academy of Sciences of the United States of America.

Towards a stochastic closure approach for Large Eddy Simulation

Philipp Metzner, I. Horenko, C. Munz, 2014 .

Gauge-optimal approximate learning for small data classification problems

I. Horenko, Edoardo Vecchi, Davide Bassetti, 2023, ArXiv.

Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization

Maik C. Stüttgen, I. Horenko, H. Luhmann, 2023, bioRxiv.

Scalable computational measures for entropic detection of latent relations and their applications to magnetic imaging

I. Horenko, D. Rodrigues, T. O’Kane, 2021, Communications in Applied Mathematics and Computational Science.

Gauge-Optimal Approximate Learning for Small Data Classification

I. Horenko, Edoardo Vecchi, Davide Bassetti, 2023, Neural Computation.

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

Illia Horenko, I. Horenko, 2020, ArXiv.

Beyond the First Tipping Points of Southern Hemisphere Climate

I. Horenko, J. Frederiksen, C. Frederiksen, 2024, Climate.

Dimension Reduction for Time Series with Hidden Phase Transitions and Economic Applications

I. Horenko, Ch. Schütte, 2008 .