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Illia Horenko

Showing results (1-10 of 24) with videos related to

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Neural Computation|June 11, 2020
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine LearningIllia Horenko
Proceedings of the National Academy of Sciences of the United States of America|February 24, 2022
Cheap robust learning of data anomalies with analytically solvable entropic outlier sparsificationIllia Horenko
Proceedings of the National Academy of Sciences of the United States of America|April 23, 2017
Toward a direct and scalable identification of reduced models for categorical processesSusanne Gerber, Illia Horenko
Journal of Computational Chemistry|September 30, 2003
Adaptive integration of molecular dynamicsIllia Horenko, Martin Weiser
Science Advances|November 25, 2015
Improving clustering by imposing network informationSusanne Gerber, Illia Horenko
Proceedings of the National Academy of Sciences of the United States of America|October 1, 2014
On inference of causality for discrete state models in a multiscale contextSusanne Gerber, Illia Horenko
Neural Computation|July 24, 2025
Toward Generalized Entropic Sparsification for Convolutional Neural NetworksTin Barisin, Illia Horenko
Entropy (Basel, Switzerland)|July 26, 2024
On Entropic Learning from Noisy Time Series in the Small Data RegimeDavide Bassetti, Lukáš Pospíšil, Illia Horenko
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 1, 2008
Generator estimation of Markov jump processes based on incomplete observations nonequidistant in timePhilipp Metzner, Illia Horenko, Christof Schütte
The Journal of Chemical Physics|July 23, 2004
Fully adaptive propagation of the quantum-classical Liouville equationIllia Horenko, Martin Weiser, Burkhard Schmidt, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Neural Computation|June 11, 2020
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine LearningIllia Horenko
Proceedings of the National Academy of Sciences of the United States of America|February 24, 2022
Cheap robust learning of data anomalies with analytically solvable entropic outlier sparsificationIllia Horenko
Proceedings of the National Academy of Sciences of the United States of America|April 23, 2017
Toward a direct and scalable identification of reduced models for categorical processesSusanne Gerber, Illia Horenko
Journal of Computational Chemistry|September 30, 2003
Adaptive integration of molecular dynamicsIllia Horenko, Martin Weiser
Science Advances|November 25, 2015
Improving clustering by imposing network informationSusanne Gerber, Illia Horenko
Proceedings of the National Academy of Sciences of the United States of America|October 1, 2014
On inference of causality for discrete state models in a multiscale contextSusanne Gerber, Illia Horenko
Neural Computation|July 24, 2025
Toward Generalized Entropic Sparsification for Convolutional Neural NetworksTin Barisin, Illia Horenko
Entropy (Basel, Switzerland)|July 26, 2024
On Entropic Learning from Noisy Time Series in the Small Data RegimeDavide Bassetti, Lukáš Pospíšil, Illia Horenko
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 1, 2008
Generator estimation of Markov jump processes based on incomplete observations nonequidistant in timePhilipp Metzner, Illia Horenko, Christof Schütte
The Journal of Chemical Physics|July 23, 2004
Fully adaptive propagation of the quantum-classical Liouville equationIllia Horenko, Martin Weiser, Burkhard Schmidt, et al.
Pageof 3