Simon Buchholz
14 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer
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Interdisciplinary Bridge
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Keyword Pioneer
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Dynamic Duo
(11)
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Keyword Collector
(51)
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Unstoppable
(5)
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Century Club
(14)
Conferences
NIPS (9)
CLEAR (1)
COLT (1)
ICLR (1)
ICML (1)
UAI (1)
Top co-authors
Research topics
Keywords
causal representation learning
(2)
causal inference
(2)
generative modeling
(1)
domain adaptation
(1)
independent component analysis
(1)
ridge regression
(1)
hypothesis testing
(1)
latent variable model
(1)
two-sample test
(1)
reproducing kernel hilbert space
(1)
posterior estimation
(1)
distribution shift
(1)
complexity analysis
(1)
nonlinear independent component analysis
(1)
probability space
(1)
flow matching
(1)
latent variable
(1)
inductive bia
(1)
normalizing flow
(1)
contrastive learning
(1)
Papers
Algorithmic causal structure emerging through compression
CLEAR 2025
Interaction Asymmetry: A General Principle for Learning Composable Abstractions
ICLR 2025
Products, Abstractions and Inclusions of Causal Spaces
UAI 2024
From Causal to Concept-Based Representation Learning
NIPS 2024
Learning Partitions from Context
NIPS 2024
Robustness of Nonlinear Representation Learning
ICML 2024
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
NIPS 2023
Flow Matching for Scalable Simulation-Based Inference
NIPS 2023
A Measure-Theoretic Axiomatisation of Causality
NIPS 2023
Causal Component Analysis
NIPS 2023
Kernel interpolation in Sobolev spaces is not consistent in low dimensions
COLT 2022
AutoML Two-Sample Test
NIPS 2022
Function Classes for Identifiable Nonlinear Independent Component Analysis
NIPS 2022
The Inductive Bias of Quantum Kernels
NIPS 2021