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Simon Buchholz

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Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models

Feb 14, 2024
Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar

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Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

Jun 04, 2023
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar

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Causal Component Analysis

May 26, 2023
Wendong Liang, Armin Kekić, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf

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Flow Matching for Scalable Simulation-Based Inference

May 26, 2023
Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf

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Multi armed bandits and quantum channel oracles

Jan 20, 2023
Simon Buchholz, Jonas M. Kübler, Bernhard Schölkopf

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Function Classes for Identifiable Nonlinear Independent Component Analysis

Aug 12, 2022
Simon Buchholz, Michel Besserve, Bernhard Schölkopf

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AutoML Two-Sample Test

Jun 17, 2022
Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf

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The Inductive Bias of Quantum Kernels

Jun 07, 2021
Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf

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