no code implementations • 30 Jan 2023 • Gianluigi Pillonetto, Aleksandr Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
For this reason, we provide a survey of deep learning from a system identification perspective.
no code implementations • 25 Sep 2022 • Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen
Regularized system identification is the major advance in system identification in the last decade.
1 code implementation • 8 Mar 2021 • Farnaz Adib Yaghmaie, Lennart Ljung
The emerging field of Reinforcement Learning (RL) has led to impressive results in varied domains like strategy games, robotics, etc.
1 code implementation • 31 Mar 2020 • Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung
Deep state space models (SSMs) are an actively researched model class for temporal models developed in the deep learning community which have a close connection to classic SSMs.
no code implementations • 2 Jul 2015 • Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
In this paper, a comparative study of estimators based on these different types of regularizers is reported.
no code implementations • 20 Nov 2014 • Francesca Paola Carli, Tianshi Chen, Lennart Ljung
In this paper we show that maximum entropy properties indeed extend to the whole family of DC kernels.
no code implementations • 20 Sep 2013 • Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
The number of hypothesis grows rapidly with the number of systems and approximate solutions become a necessity for any problems of practical interests.