Isabel Haasler

32 papers A 2B 1Misc 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic gene regulatory network inference from single-cell data using optimal transport.
Bioinform.
François Lamoline, Isabel Haasler, Johan Karlsson, Jorge Gonçalves, Atte Aalto
2025 — conf
Joint Spectrogram Separation and TDOA Estimation Using Optimal Transport.
EUSIPCO
Linda Fabiani, Sebastian J. Schlecht, Isabel Haasler, Filip Elvander
2025 J jnl
Mixtures of Ensembles: System Separation and Identification via Optimal Transport.
IEEE Control. Syst. Lett.
Filip Elvander, Isabel Haasler
2025 J jnl
Mixtures of ensembles: System separation and identification via optimal transport.
CoRR
Filip Elvander, Isabel Haasler
2024 J jnl
A parallel framework for graphical optimal transport.
CoRR
Jiaojiao Fan, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2024 A conf
Bures-Wasserstein Means of Graphs.
AISTATS
Isabel Haasler, Pascal Frossard
2024 J jnl
Graph-Structured Tensor Optimization for Nonlinear Density Control and Mean Field Games.
SIAM J. Control. Optim.
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2024 J jnl
Multi-Frequency Tracking via Group-Sparse Optimal Transport.
IEEE Control. Syst. Lett.
Isabel Haasler, Filip Elvander
2024 J jnl
Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport.
Math. Oper. Res.
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
2024 B conf
Subgraph Matching via Partial Optimal Transport.
ISIT
Wen-Xin Pan, Isabel Haasler, Pascal Frossard
2024 J jnl
Subgraph Matching via Partial Optimal Transport.
CoRR
Wen-Xin Pan, Isabel Haasler, Pascal Frossard
2023 J jnl
Bures-Wasserstein Means of Graphs.
CoRR
Isabel Haasler, Pascal Frossard
2023 J jnl
Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information.
Eur. J. Control
Michele Mascherpa, Isabel Haasler, Bengt Ahlgren, Johan Karlsson
2023 J jnl
Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization.
IEEE Control. Syst. Lett.
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2023 J jnl
Mean field type control with species dependent dynamics via structured tensor optimization.
CoRR
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2022 — —
Graph-structured multi-marginal optimal transport: Theory, applications, and efficient methods using entropy regularization.
Isabel Haasler
2022 J jnl
Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach.
IEEE Trans. Autom. Control.
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2022 A conf
On the complexity of the optimal transport problem with graph-structured cost.
AISTATS
Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen
2021 — conf
Efficient computations of multi-species mean field games via graph-structured optimal transport.
CDC
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2021 J jnl
Graph-structured tensor optimization for nonlinear density control and mean field games.
CoRR
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2021 J jnl
Incremental Inference of Collective Graphical Models.
IEEE Control. Syst. Lett.
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2021 J jnl
Multi-Marginal Optimal Transport and Probabilistic Graphical Models.
IEEE Trans. Inf. Theory
Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2021 J jnl
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem.
SIAM J. Control. Optim.
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
2021 J jnl
On the complexity of the optimal transport problem with graph-structured cost.
CoRR
Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen
2021 J jnl
Optimal Steering of Ensembles With Origin-Destination Constraints.
IEEE Control. Syst. Lett.
Isabel Haasler, Yongxin Chen, Johan Karlsson
2020 J jnl
Incremental inference of collective graphical models.
CoRR
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2020 J jnl
Inference with Aggregate Data: An Optimal Transport Approach.
CoRR
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2020 J jnl
Multi-marginal optimal transport and probabilistic graphical models.
CoRR
Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
2020 J jnl
Multi-marginal optimal transport using partial information with applications in robust localization and sensor fusion.
Signal Process.
Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson
2019 — conf
Estimating ensemble flows on a hidden Markov chain.
CDC
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
2019 Misc conf
Non-coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport.
ICASSP
Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson
2018 — conf
Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport.
EUSIPCO
Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson