Causal Modeling with Stationary Diffusions

Causal Modeling with Stationary Diffusions

26 October 2023

Bernhard Schölkopf

Papers citing "Causal Modeling with Stationary Diffusions"

10 / 10 papers shown

Title
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 72 0 0 31 Jan 2025
ExDAG: Exact learning of DAGs Pavel Rytír Ales Wodecki Jakub Marecek CML 41 1 0 21 Jun 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 34 1 0 13 Jun 2024
Causal machine learning for single-cell genomics Alejandro Tejada-Lapuerta Paul Bertin Stefan Bauer H. Aliee Yoshua Bengio Fabian J. Theis CML 34 14 0 23 Oct 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning Muralikrishnna G. Sethuraman Romain Lopez Ramkumar Veppathur Mohan Faramarz Fekri Tommaso Biancalani Jan-Christian Hütter CML 42 11 0 04 Jan 2023
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 43 24 0 10 Sep 2022
Identifiability in Continuous Lyapunov Models Philipp Dettling R. Homs Carlos Améndola Mathias Drton N. Hansen 39 8 0 08 Sep 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 96 0 28 Jan 2022
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 74 101 0 09 Aug 2014
A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models Thomas S. Richardson 65 45 0 13 Feb 2013