Simon Buchholz

According to our database, Simon Buchholz authored at least 22 papers between 2017 and 2026.

Collaborative distances:

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

2026

Logit Distance Bounds Representational Similarity.

Beatrix M. G. Nielsen, Emanuele Marconato, Luigi Gresele, Andrea Dittadi, Simon Buchholz

CoRR, February, 2026

2025

Generation is Required for Data-Efficient Perception.

Jack Brady, Bernhard Schölkopf, Thomas Kipf, Simon Buchholz, Wieland Brendel

CoRR, December, 2025

Reparameterized LLM Training via Orthogonal Equivalence Transformation.

Zeju Qiu, Simon Buchholz, Tim Z. Xiao, Maximilian Dax, Bernhard Schölkopf, Weiyang Liu

CoRR, June, 2025

Multi-Armed Bandits and Quantum Channel Oracles.

Simon Buchholz, Jonas M. Kübler, Bernhard Schölkopf

Quantum, 2025

Interaction Asymmetry: A General Principle for Learning Composable Abstractions.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Algorithmic causal structure emerging through compression.

Wendong Liang, Simon Buchholz, Bernhard Schölkopf

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

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

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

CoRR, 2024

Products, Abstractions and Inclusions of Causal Spaces.

Simon Buchholz, Junhyung Park, Bernhard Schölkopf

Proceedings of the Uncertainty in Artificial Intelligence, 2024

From Causal to Concept-Based Representation Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Partitions from Context.

Simon Buchholz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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