Inverse filtering for hidden Markov models with applications to counter-adversarial autonomous systems R Mattila, CR Rojas, V Krishnamurthy, B Wahlberg IEEE Transactions on Signal Processing 68, 4987-5002, 2020 | 27 | 2020 |
Inverse filtering for hidden Markov models R Mattila, C Rojas, V Krishnamurthy, B Wahlberg Advances in Neural Information Processing Systems 30, 2017 | 27 | 2017 |
Inverse filtering for linear Gaussian state-space models R Mattila, CR Rojas, V Krishnamurthy, B Wahlberg 2018 IEEE Conference on Decision and Control (CDC), 5556-5561, 2018 | 16 | 2018 |
Estimating private beliefs of Bayesian agents based on observed decisions R Mattila, I Lourenço, CR Rojas, V Krishnamurthy, B Wahlberg IEEE Control Systems Letters 3 (3), 523-528, 2019 | 14 | 2019 |
A Markov decision process model to guide treatment of abdominal aortic aneurysms R Mattila, A Siika, J Roy, B Wahlberg 2016 IEEE Conference on Control Applications (CCA), 436-441, 2016 | 14 | 2016 |
How to protect your privacy? A framework for counter-adversarial decision making I Lourenço, R Mattila, CR Rojas, B Wahlberg 2020 59th IEEE Conference on Decision and Control (CDC), 1785-1791, 2020 | 11 | 2020 |
Hidden Markov models: Inverse filtering, belief estimation and privacy protection I Lourenço, R Mattila, CR Rojas, X Hu, B Wahlberg Journal of Systems Science and Complexity 34, 1801-1820, 2021 | 9 | 2021 |
Bioimpedance parameter estimation using fast spectral measurements and regularization RG Ramírez-Chavarría, G Quintana-Carapia, MI Müller, R Mattila, ... IFAC-PapersOnLine 51 (15), 521-526, 2018 | 9 | 2018 |
An iterative abstraction algorithm for reactive correct-by-construction controller synthesis R Mattila, Y Mo, RM Murray 2015 54th IEEE Conference on Decision and Control (CDC), 6147-6152, 2015 | 9 | 2015 |
Evaluation of spectral learning for the identification of hidden Markov models R Mattila, CR Rojas, B Wahlberg IFAC-PapersOnLine 48 (28), 897-902, 2015 | 9 | 2015 |
What did your adversary believeƒ Optimal filtering and smoothing in counter-adversarial autonomous systems R Mattila, I Lourenço, V Krishnamurthy, CR Rojas, B Wahlberg ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
Identification of hidden Markov models using spectral learning with likelihood maximization R Mattila, CR Rojas, V Krishnamurthy, B Wahlberg 2017 IEEE 56th annual conference on decision and control (CDC), 5859-5864, 2017 | 8 | 2017 |
Asymptotically efficient identification of known-sensor hidden Markov models R Mattila, CR Rojas, V Krishnamurthy, B Wahlberg IEEE Signal Processing Letters 24 (12), 1813-1817, 2017 | 8 | 2017 |
Recursive identification of chain dynamics in hidden Markov models using non-negative matrix factorization R Mattila, V Krishnamurthy, B Wahlberg 2015 54th IEEE Conference on Decision and Control (CDC), 4011-4016, 2015 | 8 | 2015 |
Cooperative system identification via correctional learning I Lourenço, R Mattila, CR Rojas, B Wahlberg IFAC-PapersOnLine 54 (7), 19-24, 2021 | 7 | 2021 |
Fast and consistent learning of hidden Markov models by incorporating non-consecutive correlations R Mattila, C Rojas, E Moulines, V Krishnamurthy, B Wahlberg International Conference on Machine Learning, 6785-6796, 2020 | 7 | 2020 |
A framework for high-resolution frequency response measurement and parameter estimation in microscale impedance applications RG Ramírez-Chavarría, MI Müller, R Mattila, G Quintana-Carapia, ... Measurement 148, 106913, 2019 | 7 | 2019 |
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach R Mattila, CR Rojas, V Krishnamurthy, B Wahlberg IFAC-PapersOnLine 50 (1), 8429-8434, 2017 | 7 | 2017 |
Hidden Markov models: Identification, inverse filtering and applications R Mattila KTH Royal Institute of Technology, 2020 | 4 | 2020 |
A Biologically Inspired Computational Model of Time Perception I Lourenço, R Mattila, R Ventura, B Wahlberg IEEE Transactions on Cognitive and Developmental Systems 14 (2), 258-268, 2021 | 3 | 2021 |