Isabel Haasler

According to our database, Isabel Haasler authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph-Structured Tensor Optimization for Nonlinear Density Control and Mean Field Games.

Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson

SIAM J. Control. Optim., 2024

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport.

Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson

Math. Oper. Res., 2024

Multi-Frequency Tracking via Group-Sparse Optimal Transport.

Isabel Haasler, Filip Elvander

IEEE Control. Syst. Lett., 2024

A parallel framework for graphical optimal transport.

Jiaojiao Fan, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

CoRR, 2024

Subgraph Matching via Partial Optimal Transport.

Wen-Xin Pan, Isabel Haasler, Pascal Frossard

Proceedings of the IEEE International Symposium on Information Theory, 2024

Bures-Wasserstein Means of Graphs.

Isabel Haasler, Pascal Frossard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information.

Michele Mascherpa, Isabel Haasler, Bengt Ahlgren, Johan Karlsson

Eur. J. Control, November, 2023

Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization.

Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson

IEEE Control. Syst. Lett., 2023

2022

Graph-structured multi-marginal optimal transport: Theory, applications, and efficient methods using entropy regularization.

Isabel Haasler

PhD thesis, 2022

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach.

Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

IEEE Trans. Autom. Control., 2022

On the complexity of the optimal transport problem with graph-structured cost.

Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multi-Marginal Optimal Transport and Probabilistic Graphical Models.

Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

IEEE Trans. Inf. Theory, 2021

Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem.

Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson

SIAM J. Control. Optim., 2021

Incremental Inference of Collective Graphical Models.

Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

IEEE Control. Syst. Lett., 2021

Optimal Steering of Ensembles With Origin-Destination Constraints.

Isabel Haasler, Yongxin Chen, Johan Karlsson

IEEE Control. Syst. Lett., 2021

Efficient computations of multi-species mean field games via graph-structured optimal transport.

Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Multi-marginal optimal transport using partial information with applications in robust localization and sensor fusion.

Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson

Signal Process., 2020

Inference with Aggregate Data: An Optimal Transport Approach.

Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

CoRR, 2020

2019

Non-coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport.

Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson

Proceedings of the IEEE International Conference on Acoustics, 2019

Estimating ensemble flows on a hidden Markov chain.

Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport.

Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson

Proceedings of the 26th European Signal Processing Conference, 2018