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Julia E. Vogt

  1. On the Limitations of Multimodal VAEs
    2021/10/08 by Imant Daunhawer, Thomas M. Sutter, Daunhawer, Imant +7 · 9 citations
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing
  2. On the Identifiability and Estimation of Causal Location-Scale Noise Models
    2022/10/13 by Alexander Immer, Christoph Schultheiß, Immer, Alexander +9 · 10 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  3. On the Challenges and Opportunities in Generative AI
    2024/02/28 by Laura Manduchi, Manduchi, Laura, Meister, Clara +48 · 15 citations
    Computer Science · #AI-based Problem Solving and Planning #Cognitive Computing and Networks #Evolutionary Algorithms and Applications
  4. Stochastic Concept Bottleneck Models
    2024/06/27 by Moritz Vandenhirtz, Sonia Laguna, Vandenhirtz, Moritz +5 · 17 citations
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Advanced Bandit Algorithms Research
  5. Identifiability Results for Multimodal Contrastive Learning
    2023/03/16 by Imant Daunhawer, Daunhawer, Imant, Alice Bizeul +7 · 10 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  6. Beyond Normal: On the Evaluation of Mutual Information Estimators
    2023/06/19 by Paweł Czyż, Frederic Grabowski, Czyż, Paweł +7 · 10 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  7. Interpretable Models for Granger Causality Using Self-explaining Neural Networks
    2021/01/19 by Ričards Marcinkevičs, Marcinkevičs, Ričards, Julia E. Vogt +1 · 5 citations
    Computer Science · Engineering · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  8. Cross-Entropy Is All You Need To Invert the Data Generating Process
    2024/10/29 by Patrik Reizinger, Reizinger, Patrik, Alice Bizeul +11 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  9. Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
    2024/01/24 by Sonia Laguna, Laguna, Sonia, Ričards Marcinkevičs +5 · 8 citations
    Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  10. Unity by Diversity: Improved Representation Learning in Multimodal VAEs
    2024/03/08 by Thomas M. Sutter, Yang Meng, Sutter, Thomas M. +10 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Speech and dialogue systems
  11. Tree Variational Autoencoders
    2023/06/15 by Laura Manduchi, Moritz Vandenhirtz, Manduchi, Laura +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Music and Audio Processing
  12. On the Properties and Estimation of Pointwise Mutual Information Profiles
    2023/10/16 by Paweł Czyż, Frederic Grabowski, Czyż, Paweł +7 · 2 citations
    Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistical Mechanics and Entropy
  13. Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
    2023/05/31 by Moritz Vandenhirtz, Laura Manduchi, Vandenhirtz, Moritz +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  14. Generation of Differentially Private Heterogeneous Electronic Health Records
    2020/06/05 by Kieran Chin-Cheong, Thomas M. Sutter, Chin-Cheong, Kieran +3 · 1 citation
    Computer Science · Social Sciences · #Access Control and Trust #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data
  15. Weakly-Supervised Multimodal Learning on MIMIC-CXR
    2024/11/15 by Andrea Agostini, Agostini, Andrea, Daphné Chopard +13 · 3 citations
    Computer Science · #Advanced Computational Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. From Pixels to Components: Eigenvector Masking for Visual Representation Learning
    2025/02/10 by Alice Bizeul, Thomas M. Sutter, Thomas 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
  17. Differentiable Random Partition Models
    2023/05/26 by Thomas M. Sutter, Alain Ryser, Sutter, Thomas M. +5 · 1 citation
    Computer Science · #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis
  18. Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach
    2025/04/13 by Mikael Makonnen, Makonnen, Mikael, Moritz Vandenhirtz +5 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research