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Robert Mattila
Robert Mattila
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Titel
Zitiert von
Zitiert von
Jahr
Inverse filtering for hidden Markov models
R Mattila, C Rojas, V Krishnamurthy, B Wahlberg
Advances in Neural Information Processing Systems 30, 2017
182017
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
132020
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
122019
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
122018
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
102016
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
72020
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
72017
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
72015
Evaluation of spectral learning for the identification of hidden Markov models
R Mattila, CR Rojas, B Wahlberg
IFAC-PapersOnLine 48 (28), 897-902, 2015
72015
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
62020
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
62017
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
62015
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
52019
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
52018
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
52017
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 (5), 1801-1820, 2021
42021
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
42020
Hidden Markov models: Identification, inverse filtering and applications
R Mattila
KTH Royal Institute of Technology, 2020
32020
PC136 An Optimal Gender-Specific Treatment Policy for Abdominal Aortic Aneurysms Constructed Using a Markov Decision Process Model
AK Siika, R Mattila, B Wahlberg, J Roy
Journal of Vascular Surgery 65 (6), 175S, 2017
32017
On identification of hidden Markov models using spectral and non-negative matrix factorization methods
R Mattila
32015
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