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Deividas Eringis
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2020 – today
- 2024
- [c3]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky:
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs. AAAI 2024: 11901-11909 - 2023
- [j1]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
Explicit construction of the minimum error variance estimator for stochastic LTI-ss systems. Autom. 153: 111018 (2023) - [i5]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky:
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss. CoRR abs/2303.16816 (2023) - [i4]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs. CoRR abs/2312.09793 (2023) - 2022
- [c2]Krisztian Mark Balla
, Deividas Eringis, Mohamad Al Ahdab
, Jan Dimon Bendtsen
, Carsten Skovmose Kallesøe, Carlos Ocampo-Martinez:
Learning-Based Predictive Control with Gaussian Processes: An Application to Urban Drainage Networks. ACC 2022: 4627-4633 - [i3]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models. CoRR abs/2212.14838 (2022) - 2021
- [c1]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky:
PAC-Bayesian theory for stochastic LTI systems. CDC 2021: 6626-6633 - [i2]Deividas Eringis
, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky:
PAC-Bayesian theory for stochastic LTI systems. CoRR abs/2103.12866 (2021) - [i1]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems. CoRR abs/2109.02384 (2021)
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