Simon Buchholz
- Flow Matching for Scalable Simulation-Based Inference
2023/05/26 by Maximilian Dax, Jonas Wildberger, Dax, Maximilian +9 · 28 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Computational Physics and Python Applications
- Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
2023/06/04 by Simon Buchholz, Buchholz, Simon, Goutham Rajendran +9 · 10 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- AutoML Two-Sample Test
2022/06/17 by Jonas M. Kübler, Kübler, Jonas M., Vincent Stimper +7 · 5 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Interaction Asymmetry: A General Principle for Learning Composable Abstractions
2024/11/12 by Jack Brady, Brady, Jack, Julius von Kügelgen +9 · 9 citations
Computer Science · #Logic, Reasoning, and Knowledge #Intelligent Tutoring Systems and Adaptive Learning #Semantic Web and Ontologies
- A Measure-Theoretic Axiomatisation of Causality
2023/05/19 by Junhyung Park, Simon Buchholz, Park, Junhyung +5 · 3 citations
Arts and Humanities · Computer Science · Physics and Astronomy · #Philosophy and History of Science #Computability, Logic, AI Algorithms #Statistical Mechanics and Entropy
- Assaying Large-scale Testing Models to Interpret COVID-19 Case Numbers
2020/12/03 by Michel Besserve, Simon Buchholz, Besserve, Michel +3 · 1 citation
Mathematics · Medicine · #Applications (stat.AP) #COVID-19 epidemiological studies #FOS: Biological sciences #FOS: Computer and information sciences #Populations and Evolution (q-bio.PE) #SARS-CoV-2 and COVID-19 Research
- Is Generation Required for Data-Efficient Perception?
2025/12/09 by Jack Brady, Bernhard Schölkopf, Brady, Jack +7 · 1 voice
Computer Science · Neuroscience · #Generative Adversarial Networks and Image Synthesis #Face Recognition and Perception #Visual perception and processing mechanisms