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Mihaly Petreczky

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A finite-sample generalization bound for stable LPV systems

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May 16, 2024
Daniel Racz, Martin Gonzalez, Mihaly Petreczky, Andras Benczur, Balint Daroczy

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PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs

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Dec 15, 2023
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky

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PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss

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Mar 29, 2023
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihaly Petreczky

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PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models

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Dec 30, 2022
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky

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Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening

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Jun 16, 2022
Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihaly Petreczky

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Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings

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May 24, 2022
Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihaly Petreczky

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Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems

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Sep 06, 2021
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky

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PAC-Bayesian theory for stochastic LTI systems

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Mar 25, 2021
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihaly Petreczky

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Improved PAC-Bayesian Bounds for Linear Regression

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Dec 06, 2019
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky

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