Deividas Eringis

According to our database, Deividas Eringis authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs.

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky

CoRR, 2023

Explicit construction of the minimum error variance estimator for stochastic LTI-ss systems.

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky

Autom., 2023

2022

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

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky

CoRR, 2022

Learning-Based Predictive Control with Gaussian Processes: An Application to Urban Drainage Networks.

Krisztian Mark Balla, Deividas Eringis, Mohamad Al Ahdab, Jan Dimon Bendtsen, Carsten Skovmose Kallesøe, Carlos Ocampo-Martinez

Proceedings of the American Control Conference, 2022

2021

Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems.

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky

CoRR, 2021

PAC-Bayesian theory for stochastic LTI systems.

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021