Søren Wengel Mogensen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Conditional Independence Tests

Graphical Representations

Stochastic Process

Partially Observed

Top Venues

Publications

Søren Wengel Mogensen, Karin Rathsman, Per Nilsson
Causal discovery in a complex industrial system: A time series benchmark. CLeaR (2024)
Georg Manten, Cecilia Casolo, Emilio Ferrucci, Søren Wengel Mogensen, Cristopher Salvi, Niki Kilbertus
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes. CoRR (2024)
Søren Wengel Mogensen
Faithful graphical representations of local independence. AISTATS (2024)
Søren Wengel Mogensen, Karin Rathsman, Per Nilsson
Causal discovery in a complex industrial system: A time series benchmark. CoRR (2023)
Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen
Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. CoRR (2023)
Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen
Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. TIME (2023)
Søren Wengel Mogensen
Instrumental Processes Using Integrated Covariances. CLeaR (2023)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR (2022)
Søren Wengel Mogensen
Equality Constraints in Linear Hawkes Processes. CLeaR (2022)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) (2021)
Søren Wengel Mogensen
Causal screening in dynamical systems. UAI (2020)
Søren Wengel Mogensen, Daniel Malinsky, Niels Richard Hansen
Causal Learning for Partially Observed Stochastic Dynamical Systems. UAI (2018)