Julius von Kügelgen

1. Self-Supervised Learning with Data Augmentations Provably Isolates\n Content from Style
   2021/06/08 by Julius von Kügelgen, von Kügelgen, Julius, Yash Sharma +11 · 33 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing Techniques and Applications #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Multi-View Causal Representation Learning with Partial Observability
   2023/11/07 by Dingling Yao, Yao, Dingling, Danru Xu +13 · 16 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Provably Learning Object-Centric Representations
   2023/05/23 by Jack Brady, Brady, Jack, R. Zimmermann +9 · 14 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
4. Active Bayesian Causal Inference
   2022/06/04 by Christian Toth, Toth, Christian, Lars Lorch +11 · 1 voice · 8 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
5. Causal Component Analysis
   2023/05/26 by Wendong Liang, Armin Kekić, Wendong, Liang +11 · 12 citations
   Chemistry · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #Electrochemical Analysis and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
   2022/06/04 by Ronan Perry, Perry, Ronan, Julius von Kügelgen +3 · 8 citations
   Computer Science · Environmental Science · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
7. On the Fairness of Causal Algorithmic Recourse
   2020/10/13 by Julius von Kügelgen, Amir-Hossein Karimi, von Kügelgen, Julius +9 · 4 citations
   Neuroscience · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychology of Moral and Emotional Judgment
8. Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
   2021/07/17 by Lukas Schott, Schott, Lukas, Julius von Kügelgen +15 · 4 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
9. A Sparsity Principle for Partially Observable Causal Representation Learning
   2024/03/13 by Danru Xu, Dingling Yao, Xu, Danru +11 · 7 citations
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Interaction Asymmetry: A General Principle for Learning Composable Abstractions
    2024/11/12 by Jack Brady, Julius von Kügelgen, Brady, Jack +9 · 9 citations
    Computer Science · #Logic, Reasoning, and Knowledge #Intelligent Tutoring Systems and Adaptive Learning #Semantic Web and Ontologies
11. Embrace the Gap: VAEs Perform Independent Mechanism Analysis
    2022/06/06 by Patrik Reizinger, Reizinger, Patrik, Luigi Gresele +15 · 4 citations
    Physics and Astronomy · Computer Science · Biochemistry, Genetics and Molecular Biology · #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning #Protein Structure and Dynamics
12. Backtracking Counterfactuals
    2022/11/01 by Julius von Kügelgen, von Kügelgen, Julius, Abdirisak Mohamed +3 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Cognitive Science and Mapping #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Towards causal generative scene models via competition of experts
    2020/04/27 by Julius von Kügelgen, Ivan Ustyuzhaninov, von Kügelgen, Julius +7 · 7 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Image Processing and 3D Reconstruction
14. Optimal experimental design via Bayesian optimization: active causal\n structure learning for Gaussian process networks
    2019/10/09 by Julius von Kügelgen, Paul K. Rubenstein, von Kügelgen, Julius +6 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
15. Kernel Two-Sample and Independence Tests for Non-Stationary Random\n Processes
    2020/10/01 by Felix Laumann, Julius von Kügelgen, Laumann, Felix +3 · 2 citations
    Engineering · Computer Science · Chemistry · #Fault Detection and Control Systems #Neural Networks and Applications #Spectroscopy and Chemometric Analyses
16. You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
    2021/10/11 by Osama Makansi, Julius von Kügelgen, Makansi, Osama +11 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
17. DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
    2022/10/01 by Cian Eastwood, Eastwood, Cian, Andrei Liviu Nicolicioiu +11 · 2 citations
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
18. Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
    2023/11/15 by Cian Eastwood, Julius von Kügelgen, Eastwood, Cian +11 · 2 citations
    Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
19. Independent Mechanism Analysis and the Manifold Hypothesis
    2023/12/20 by Shubhangi Ghosh, Luigi Gresele, Ghosh, Shubhangi +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Advanced Fluorescence Microscopy Techniques #Advanced MRI Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectroscopy Techniques in Biomedical and Chemical Research
20. Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
    2023/07/19 by Cian Eastwood, Eastwood, Cian, Shashank Kumar Singh +9 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
21. Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects
    2021/06/22 by Julius von Kügelgen, Nikita Agarwal, von Kügelgen, Julius +7 · 1 citation
    Computer Science · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
22. Unsupervised Object Learning via Common Fate
    2021/10/13 by Matthias Tangemann, Tangemann, Matthias, Steffen Schneider +15 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging #Advanced Image and Video Retrieval Techniques
23. From Pixels to Components: Eigenvector Masking for Visual Representation Learning
    2025/02/10 by Alice Bizeul, Bizeul, Alice, Thomas M. Sutter +10 · 2 voices · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #cs.AI #cs.CV #cs.LG
24. Kernel-based independence tests for causal structure learning on functional data
    2023/11/15 by Felix Laumann, Laumann, Felix, Julius von Kügelgen +7 · 1 citation
    Chemistry · Biochemistry, Genetics and Molecular Biology · #Spectroscopy and Chemometric Analyses #Metabolomics and Mass Spectrometry Studies