Publications list

Thesis

Adversarial systems

Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection
I. Lourenço, R. Mattila, C. R. Rojas, and B. Wahlberg
Journal of Systems Science and Complexity (JSSC), 2021

How to protect your privacy? A framework for counter-adversarial decision making
I. Lourenço, R. Mattila, C. R. Rojas, V. Krishnamurthy, and B. Wahlberg
59th IEEE Conference on Decision and Control (CDC), 2020

What did your adversary believe? Optimal filtering and smoothing in counter-adversarial autonomous systems
R. Mattila, I. Lourenço, C. R. Rojas, and B. Wahlberg
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

Estimating private beliefs of Bayesian agents based on observed decisions
R. Mattila, I. Lourenço, C. R. Rojas, V. Krishnamurthy, and B. Wahlberg
IEEE Control Systems Letters (LCSS), 2019

Cooperative systems

Optimal Transport for Correctional Learning
R. Winqvist, I. Lourenço, F. Quinzan, C. R. Rojas, and B. Wahlberg
62nd IEEE Conference on Decision and Control (CDC), 2023

A teacher-student framework for online correctional learning
I. Lourenço, R. Winqvist, C. R. Rojas, and B. Wahlberg
61th IEEE Conference on Decision and Control (CDC), 2022

Cooperative System Identification via Correctional Learning
I. Lourenço, R. Mattila, C. R. Rojas, and B. Wahlberg
19th IFAC Symposium on System Identification (SYSID), 2021

Biologically-inspired systems

A Biologically-Inspired Computational Model of Time Perception
I. Lourenço, R. Mattila, R. Ventura and B. Wahlberg
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2021

Teaching Robots to Perceive Time: A Twofold Learning Approach *
I. Lourenço, R. Ventura, and B. Wahlberg
Joint IEEE 10th International Conference on Development and Learning (ICDL), 2020

* Best Paper and Student Paper Award

Human-robot interaction

Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
I. Lourenço, A. Bobu, C. R. Rojas, and B. Wahlberg
62nd IEEE Conference on Decision and Control (CDC), 2023

Talks and Posters