Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport. - Filip Elvander; Isabel Haasler; Andreas Jakobsson; Johan Karlsson (EUSIPCO, 2018)

Estimating ensemble flows on a hidden Markov chain. - Isabel Haasler; Axel Ringh; Yongxin Chen; Johan Karlsson (CDC, 2019)

Non-coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport. - Filip Elvander; Isabel Haasler; Andreas Jakobsson; Johan Karlsson (ICASSP, 2019)

Inference with Aggregate Data: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 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)

Efficient computations of multi-species mean field games via graph-structured optimal transport. - Axel Ringh; Isabel Haasler; Yongxin Chen; Johan Karlsson (CDC, 2021)

Optimal Steering of Ensembles With Origin-Destination Constraints. - Isabel Haasler; Yongxin Chen; Johan Karlsson (IEEE Control. Syst. Lett., 2021)

Incremental Inference of Collective Graphical Models. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Control. Syst. Lett., 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)

Multi-Marginal Optimal Transport and Probabilistic Graphical Models. - Isabel Haasler; Rahul Singh 002; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Inf. Theory, 2021)

On the complexity of the optimal transport problem with graph-structured cost. - Jiaojiao Fan; Isabel Haasler; Johan Karlsson; Yongxin Chen (AISTATS, 2022)

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Autom. Control., 2022)

Graph-structured multi-marginal optimal transport: Theory, applications, and efficient methods using entropy regularization. - Isabel Haasler (2022)

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)

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, 2023)

Bures-Wasserstein Means of Graphs. - Isabel Haasler; Pascal Frossard (AISTATS, 2024)

Subgraph Matching via Partial Optimal Transport. - Wen-Xin Pan; Isabel Haasler; Pascal Frossard (ISIT, 2024)

A parallel framework for graphical optimal transport. - Jiaojiao Fan; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 2024)

Multi-Frequency Tracking via Group-Sparse Optimal Transport. - Isabel Haasler; Filip Elvander (IEEE Control. Syst. Lett., 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)

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)

Mixtures of Ensembles: System Separation and Identification via Optimal Transport. - Filip Elvander; Isabel Haasler (IEEE Control. Syst. Lett., 2025)