Johansson, Karl Henrik

11 publications

ICLR 2025 Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi

NeurIPS 2025 MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics Under Distribution Shifts Mahmoud Selim, Sriharsha Bhat, Karl Henrik Johansson

L4DC 2024 A Multi-Modal Distributed Learning Algorithm in Reproducing Kernel Hilbert Spaces Aneesh Raghavan, Karl Henrik Johansson

ICML 2024 Challenges and Considerations in the Evaluation of Bayesian Causal Discovery Amir Mohammad Karimi Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer

L4DC 2024 Learning-Based Rigid Tube Model Predictive Control Yulong Gao, Shuhao Yan, Jian Zhou, Mark Cannon, Alessandro Abate, Karl Henrik Johansson

L4DC 2023 Policy Evaluation in Distributional LQR Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson

TMLR 2022 Identifying Causal Structure in Dynamical Systems Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe

NeurIPSW 2022 Learning Flows of Control Systems Miguel Aguiar, Amritam Das, Karl Henrik Johansson

L4DC 2021 Data-Driven Reachability Analysis Using Matrix Zonotopes Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson

L4DC 2021 Learning-Based State Reconstruction for a Scalar Hyperbolic PDE Under Noisy Lagrangian Sensing Matthieu Barreau, John Liu, Karl Henrik Johansson

L4DC 2020 Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson