David Rügamer

1. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
   2024/02/01 by Theodore Papamarkou, Maria Skoularidou, Papamarkou, Theodore +48 · 1 voice · 14 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.LG #stat.ML
2. Position: Why We Must Rethink Empirical Research in Machine Learning
   2024/05/03 by Moritz Herrmann, F. Julian D. Lange, Herrmann, Moritz +18 · 1 voice · 7 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Online Learning and Analytics #cs.LG #stat.ML
3. Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
   2023/03/20 by Tobias Weber, Weber, Tobias, Michael Ingrisch +5 · 4 citations
   Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling #electronic engineering #information engineering
4. Can Transformers Learn Full Bayesian Inference in Context?
   2025/01/28 by Arik Reuter, Tim G. J. Rudner, Reuter, Arik +5 · 8 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
5. Functional Data Analysis: An Introduction and Recent Developments
   2024/09/27 by Jan Gertheiss, David Rügamer, Bernard X. W. Liew +1 · 1 voice · 4 citations
   Biochemistry, Genetics and Molecular Biology · Mathematics · #Gene expression and cancer classification #Morphological variations and asymmetry #Statistical Methods and Inference
6. Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
   2023/08/03 by Zheyu Zhang, Zhang, Zheyu, Yang Han +7 · 3 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
7. Position: The Future of Bayesian Prediction Is Prior-Fitted
   2025/05/29 by Samuel Müller, Arik Reuter, Müller, Samuel +7 · 6 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
8. Functional Data Analysis: An Introduction and Recent Developments
   2023/12/09 by Jan Gertheiss, David Rügamer, Gertheiss, Jan +5 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Gene expression and cancer classification #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME) #Statistical Methods and Inference
9. Adjustment for Confounding using Pre-Trained Representations
   2025/06/17 by Rickmer Schulte, Schulte, Rickmer, David Rügamer +3 · 1 voice · 2 citations
   Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
10. deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
    2021/04/06 by David Rügamer, Rügamer, David, Chris Kolb +25 · 1 citation
    Computer Science · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
11. Boosting Functional Regression Models with FDboost
    2017/05/30 by Sarah Brockhaus, David Rügamer, Brockhaus, Sarah +3 · 1 citation
    Mathematics · Biochemistry, Genetics and Molecular Biology · #Statistical Methods and Inference #Metabolomics and Mass Spectrometry Studies #Advanced Statistical Methods and Models
12. Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
    2025/02/04 by Chris Kolb, Kolb, Chris, Tobias Weber +5 · 1 voice · 2 citations
    Computer Science · Engineering · Social Sciences · #Advanced Computing and Algorithms #Gait Recognition and Analysis #Hand Gesture Recognition Systems #cs.LG #stat.ML
13. Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
    2025/02/10 by Emanuel Sommer, Sommer, Emanuel, Jakob Robnik +7 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
14. Guiding Posterior Exploration with Optimizer-Derived Geometry
    2026/07/28 by Moritz Schlager, Emanuel Sommer, Thomas Möllenhoff +1
    #cs.LG