Robert Mattila

Orcid: 0000-0003-4533-4971

According to our database¹, Robert Mattila authored at least 19 papers between 2015 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2022

A Biologically Inspired Computational Model of Time Perception.

[BibT_eX]

[DOI]

Inês Lourenço

Robert Mattila

Rodrigo M. M. Ventura

Bo Wahlberg

IEEE Trans. Cogn. Dev. Syst., 2022

2021

Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection.

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2021

2020

Hidden Markov Models: Identification, Inverse Filtering and Applications.

[BibT_eX]

[DOI]

Robert Mattila

PhD thesis, 2020

Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Cooperative System Identification via Correctional Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2019

What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Inverse Filtering for Linear Gaussian State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach.

[BibT_eX]

[DOI]

CoRR, 2017

Inverse Filtering for Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Identification of hidden Markov models using spectral learning with likelihood maximization.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

A Markov decision process model to guide treatment of abdominal aortic aneurysms.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015

Evaluation of Spectral Learning for the Identification of Hidden Markov Models.

[BibT_eX]

[DOI]

Robert Mattila

Cristian R. Rojas

Bo Wahlberg

CoRR, 2015

An iterative abstraction algorithm for reactive correct-by-construction controller synthesis.

[BibT_eX]

[DOI]

Robert Mattila

Yilin Mo

Richard M. Murray

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

Robert Mattila

Vikram Krishnamurthy

Bo Wahlberg

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Robert Mattila

Timeline

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