Søren Hauberg
- Latent Space Oddity: on the Curvature of Deep Generative Models
2017/10/31 by Georgios Arvanitidis, Lars Kai Hansen, Arvanitidis, Georgios +3 · 17 citations
Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (stat.ML)
- Reliable training and estimation of variance networks
2019/06/04 by Nicki Skafte Detlefsen, Martin Jørgensen, Detlefsen, Nicki S. +3 · 4 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Metrics for Probabilistic Geometries
2014/11/27 by Alessandra Tosi, Tosi, Alessandra, Søren Hauberg +5 · 3 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Human Motion and Animation #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Locally Adaptive Normal Distribution
2016/06/08 by Georgios Arvanitidis, Lars Kai Hansen, Arvanitidis, Georgios +3 · 2 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Neural Networks and Applications
- Probabilistic Spatial Transformer Networks
2020/04/07 by Pola Schwöbel, Frederik Warburg, Schwöbel, Pola +7 · 2 citations
Computer Science · Engineering · #Advanced Optical Network Technologies #Blind Source Separation Techniques #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning to Taste: A Multimodal Wine Dataset
2023/08/31 by Thoranna Bender, Simon Moe Sørensen, Bender, Thoranna +14 · 1 voice · 2 citations
Business, Management and Accounting · Computer Science · #Wine Industry and Tourism #Music and Audio Processing #Video Analysis and Summarization
- Riemannian Laplace approximations for Bayesian neural networks
2023/06/12 by Federico Bergamin, Pablo Moreno-Muñoz, Bergamin, Federico +5 · 2 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Neural Networks and Applications
- The Spacetime of Diffusion Models: An Information Geometry Perspective
2025/05/23 by Rafał Karczewski, Karczewski, Rafał, Markus Heinonen +7 · 3 voices · 3 citations
Computer Science · Mathematics · Physics and Astronomy · #Morphological variations and asymmetry #Statistical Mechanics and Entropy #Topological and Geometric Data Analysis #cs.LG
- Neural Contractive Dynamical Systems
2024/01/17 by Hadi Beik-Mohammadi, Beik-Mohammadi, Hadi, Søren Hauberg +9 · 2 citations
Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Control and Stability of Dynamical Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Robot Manipulation and Learning #Robotics (cs.RO)
- Explicit Disentanglement of Appearance and Perspective in Generative\n Models
2019/06/11 by Nicki Skafte Detlefsen, Søren Hauberg, Detlefsen, Nicki Skafte +1 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Face recognition and analysis #Digital Media Forensic Detection
- A Continuous Relaxation for Discrete Bayesian Optimization
2024/04/26 by Michaël Richard, Simon Bartels, Michael, Richard +11 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Density estimation on smooth manifolds with normalizing flows
2021/06/07 by Dimitris Kalatzis, Kalatzis, Dimitris, Johan Ziruo Ye +7 · 1 citation
Computer Science · #AI in cancer detection #Digital Imaging for Blood Diseases #Topological and Geometric Data Analysis
- Decoder ensembling for learned latent geometries
2024/08/14 by Stas Syrota, Pablo Moreno-Muñoz, Syrota, Stas +3 · 2 citations
Computer Science · Engineering · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Photonic and Optical Devices
- Gradients of Functions of Large Matrices
2024/05/27 by Nicholas Krämer, Krämer, Nicholas, Pablo Moreno-Muñoz +5 · 1 voice · 2 citations
#cs.LG #math.NA #stat.ML
- Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)
2018/06/13 by Søren Hauberg, Hauberg, Søren · 2 citations
Computer Science · Mathematics · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Morphological variations and asymmetry
- Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
2024/09/23 by Marco Miani, Lorenzo Beretta, Miani, Marco +3 · 1 citation
Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Fault Detection and Control Systems
- Are generative models fair? A study of racial bias in dermatological image generation
2025/01/20 by Miguel López-Pérez, López-Pérez, Miguel, Søren Hauberg +3 · 1 citation
Medicine · Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #Diversity and Career in Medicine #Empathy and Medical Education #FOS: Computer and information sciences #Medicine and Dermatology Studies History
- Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
2024/10/22 by Marco Miani, Miani, Marco, Hrittik Roy +3 · 1 citation
Computer Science · #Gaussian Processes and Bayesian Inference #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis