Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes

28 February 2024

Søren Wengel Mogensen

Papers citing "Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes"

12 / 12 papers shown

Title
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization Nicola Muca Cirone C. Salvi 44 1 0 01 Apr 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces Georg Manten Cecilia Casolo Søren Wengel Mogensen Niki Kilbertus 54 0 0 12 Mar 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots Vincent Guan Joseph Janssen Hossein Rahmani Andrew Warren Stephen X. Zhang Elina Robeva Geoffrey Schiebinger DiffM 39 2 0 30 Oct 2024
Dynamic Structural Causal Models Philip A. Boeken Joris M. Mooij 39 2 0 03 Jun 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals Christian Holberg C. Salvi 26 1 0 22 May 2024
A High Order Solver for Signature Kernels M. Lemercier Terry Lyons 21 3 0 01 Apr 2024
Theoretical Foundations of Deep Selective State-Space Models Nicola Muca Cirone Antonio Orvieto Benjamin Walker C. Salvi Terry Lyons Mamba 45 25 0 29 Feb 2024
Scalable Causal Discovery with Score Matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Kun Zhang Francesco Locatello CML 42 25 0 06 Apr 2023
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 31 11 0 14 Sep 2022
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 103 258 0 29 Sep 2019
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 66 101 0 09 Aug 2014
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 166 2,575 0 28 Mar 2008