Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization. - Robert Mattila; Vikram Krishnamurthy; Bo Wahlberg (CDC, 2015)

An iterative abstraction algorithm for reactive correct-by-construction controller synthesis. - Robert Mattila; Yilin Mo; Richard M. Murray (CDC, 2015)

Evaluation of Spectral Learning for the Identification of Hidden Markov Models. - Robert Mattila; Cristian R. Rojas; Bo Wahlberg (CoRR, 2015)

A Markov decision process model to guide treatment of abdominal aortic aneurysms. - Robert Mattila; Antti Siika; Joy Roy; Bo Wahlberg (CCA, 2016)

Identification of hidden Markov models using spectral learning with likelihood maximization. - Robert Mattila; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (CDC, 2017)

Inverse Filtering for Hidden Markov Models. - Robert Mattila; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (NIPS, 2017)

Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach. - Robert Mattila; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (CoRR, 2017)

Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. - Robert Mattila; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (IEEE Signal Process. Lett., 2017)

Inverse Filtering for Linear Gaussian State-Space Models. - Robert Mattila; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (CDC, 2018)

What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. - Robert Mattila; Inês Lourenço; Vikram Krishnamurthy; Cristian R. Rojas; Bo Wahlberg (CoRR, 2019)

Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions. - Robert Mattila; Inês Lourenço; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (IEEE Control. Syst. Lett., 2019)

How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making. - Inês Lourenço; Robert Mattila; Cristian R. Rojas; Bo Wahlberg (CDC, 2020)

What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. - Robert Mattila; Inês Lourenço; Vikram Krishnamurthy; Cristian R. Rojas; Bo Wahlberg (ICASSP, 2020)

Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations. - Robert Mattila; Cristian R. Rojas; Eric Moulines; Vikram Krishnamurthy; Bo Wahlberg (ICML, 2020)

Cooperative System Identification via Correctional Learning. - Inês Lourenço; Robert Mattila; Cristian R. Rojas; Bo Wahlberg (CoRR, 2020)

Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems. - Robert Mattila; Cristian R. Rojas; Vikram Krishnamurthy; Bo Wahlberg (IEEE Trans. Signal Process., 2020)

Hidden Markov Models: Identification, Inverse Filtering and Applications. - Robert Mattila (2020)

Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection. - Inês Lourenço; Robert Mattila; Cristian R. Rojas; Xiaoming Hu 001; Bo Wahlberg (J. Syst. Sci. Complex., 2021)

A Biologically Inspired Computational Model of Time Perception. - Inês Lourenço; Robert Mattila; Rodrigo M. M. Ventura; Bo Wahlberg (IEEE Trans. Cogn. Dev. Syst., 2022)