Ullrich Köthe

1. Analyzing Inverse Problems with Invertible Neural Networks
   2018/08/14 by Lynton Ardizzone, Jakob Kruse, Ardizzone, Lynton +15 · 33 citations
   Computer Science · Physics and Astronomy · #68T01 #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics and Entropy
2. BayesFlow: Learning complex stochastic models with invertible neural networks
   2020/03/13 by Stefan T. Radev, Radev, Stefan T., Ulf K. Mertens +7 · 20 citations
   Computer Science · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
   2021/12/16 by Marvin Schmitt, Paul‐Christian Bürkner, Schmitt, Marvin +5 · 7 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Methodology (stat.ME)
4. JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
   2023/02/17 by Stefan T. Radev, Marvin Schmitt, Radev, Stefan T. +9 · 8 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
5. BayesFlow: Amortized Bayesian Workflows With Neural Networks
   2023/06/28 by Stefan T. Radev, Radev, Stefan T, Marvin Schmitt +13 · 6 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
6. On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
   2024/02/09 by Felix Draxler, Stefan Wahl, Draxler, Felix +5 · 5 citations
   Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Simulation Techniques and Applications #Stochastic processes and financial applications
7. Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
   2024/06/05 by Marvin Schmitt, Schmitt, Marvin, Paul‐Christian Bürkner +5 · 3 citations
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
8. On the Convergence Rate of Gaussianization with Random Rotations
   2023/06/23 by Felix Draxler, Lars Kühmichel, Draxler, Felix +9 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Speech and Audio Processing
9. Lifting Architectural Constraints of Injective Flows
   2023/06/02 by Peter Sorrenson, Felix Draxler, Sorrenson, Peter +9 · 2 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare #Anomaly Detection Techniques and Applications
10. A Review of Change of Variable Formulas for Generative Modeling
    2023/08/04 by Ullrich Köthe, Köthe, Ullrich · 2 citations
    Computer Science · Engineering · #Advanced Data Processing Techniques #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
11. HINT: Hierarchical Invertible Neural Transport for Density Estimation\n and Bayesian Inference
    2019/05/25 by Jakob Kruse, Kruse, Jakob, Gianluca Detommaso +5 · 1 citation
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
12. Diffusion Models in Simulation-Based Inference: A Tutorial Review
    2025/12/22 by Jonas Arruda, Arruda, Jonas, Niels Bracher +7 · 2 voices · 1 citation
    #stat.ML #cs.LG #stat.ME