Simon Buchholz

According to our database, Simon Buchholz authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interaction Asymmetry: A General Principle for Learning Composable Abstractions.

Jack Brady, Julius von Kügelgen, Sébastien Lachapelle, Simon Buchholz, Thomas Kipf, Wieland Brendel

CoRR, 2024

Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models.

Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar

CoRR, 2024

Robustness of Nonlinear Representation Learning.

Simon Buchholz, Bernhard Schölkopf

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Some Remarks on Identifiability of Independent Component Analysis in Restricted Function Classes.

Simon Buchholz

Trans. Mach. Learn. Res., 2023

Flow Matching for Scalable Simulation-Based Inference.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Measure-Theoretic Axiomatisation of Causality.

Junhyung Park, Simon Buchholz, Bernhard Schölkopf, Krikamol Muandet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Component Analysis.

Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Linear Causal Representations from Interventions under General Nonlinear Mixing.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

AutoML Two-Sample Test.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Function Classes for Identifiable Nonlinear Independent Component Analysis.

Simon Buchholz, Michel Besserve, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Kernel interpolation in Sobolev spaces is not consistent in low dimensions.

Simon Buchholz

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

The Inductive Bias of Quantum Kernels.

Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Using application knowledge to reduce cold starts in FaaS services.

David Bermbach, Ahmet-Serdar Karakaya, Simon Buchholz

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2017

Trustless Intermediation in Blockchain-Based Decentralized Service Marketplaces.

Markus Klems, Jacob Eberhardt, Stefan Tai, Steffen Härtlein, Simon Buchholz, Ahmed Tidjani

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017