| 2025 | AISTATS | Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections. | Marco Miani, Hrittik Roy, Sren Hauberg |
| 2025 | AISTATS | Riemann | Leonel Rozo, Miguel Gonzlez Duque, Nomie Jaquier, Sren Hauberg |
| 2025 | ICML | Identifying Metric Structures of Deep Latent Variable Models. | Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Sren Hauberg |
| 2025 | ICML | Geometric Contact Flows: Contactomorphisms for Dynamics and Control. | Andrea Testa, Sren Hauberg, Tamim Asfour, Leonel Rozo |
| 2024 | ICLR | Neural Contractive Dynamical Systems. | Hadi Beik-Mohammadi, Sren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo |
| 2024 | ICML | Improving Adversarial Energy-Based Model via Diffusion Process. | Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Sren Hauberg, Bo Li |
| 2024 | ICS | Accurate Computation of the Logarithm of Modified Bessel Functions on GPUs. | Andreas Plesner, Hans Henrik Brandenborg Srensen, Sren Hauberg |
| 2024 | MICCAI | Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. | Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Sren Hauberg, Frederik Warburg, Aasa Feragen |
| 2023 | AISTATS | Adaptive Cholesky Gaussian Processes. | Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muoz, Wouter Boomsma, Jes Frellsen, Sren Hauberg |
| 2022 | AISTATS | Pulling back information geometry. | Georgios Arvanitidis, Miguel Gonzlez Duque, Alison Pouplin, Dimitrios Kalatzis, Sren Hauberg |
| 2022 | AISTATS | Model-agnostic out-of-distribution detection using combined statistical tests. | Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sntaire, Hugo Schmutz, Lars Maale, Sren Hauberg, Jes Frellsen |
| 2022 | UAI | Probabilistic spatial transformer networks. | Pola Schwbel, Frederik Rahbk Warburg, Martin Jrgensen, Kristoffer Hougaard Madsen, Sren Hauberg |
| 2021 | AISTATS | Geometrically Enriched Latent Spaces. | Georgios Arvanitidis, Sren Hauberg, Bernhard Schlkopf |
| 2021 | ICANN | Spontaneous Symmetry Breaking in Data Visualization. | Cilie W. Feldager, Sren Hauberg, Lars Kai Hansen |
| 2021 | ICCV | Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. | Frederik Warburg, Martin Jrgensen, Javier Civera, Sren Hauberg |
| 2021 | ICML | Hierarchical VAEs Know What They Don't Know. | Jakob Drachmann Havtorn, Jes Frellsen, Sren Hauberg, Lars Maale |
| 2021 | ICML | Isometric Gaussian Process Latent Variable Model for Dissimilarity Data. | Martin Jrgensen, Sren Hauberg |
| 2020 | CVPR | Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. | Frederik Warburg, Sren Hauberg, Manuel Lpez-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera |
| 2020 | ICML | Variational Autoencoders with Riemannian Brownian Motion Priors. | Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Sren Hauberg |
| 2020 | MICCAI | Can You Trust Predictive Uncertainty Under Real Dataset Shifts in Digital Pathology? | Jeppe Thagaard, Sren Hauberg, Bert van der Vegt, Thomas Ebstrup, Johan D. Hansen, Anders B. Dahl |
| 2019 | AISTATS | Fast and Robust Shortest Paths on Manifolds Learned from Data. | Georgios Arvanitidis, Sren Hauberg, Philipp Hennig, Michael Schober |
| 2019 | AISTATS | Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. | Anton Mallasto, Sren Hauberg, Aasa Feragen |
| 2018 | CVPR | Deep Diffeomorphic Transformer Networks. | Nicki Skafte Detlefsen, Oren Freifeld, Sren Hauberg |
| 2018 | FUSION | Directional Statistics with the Spherical Normal Distribution. | Sren Hauberg |
| 2018 | ICLR | Latent Space Oddity: on the Curvature of Deep Generative Models. | Georgios Arvanitidis, Lars Kai Hansen, Sren Hauberg |
| 2017 | CVPR | Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. | Rudrasis Chakraborty, Sren Hauberg, Baba C. Vemuri |
| 2016 | AISTATS | Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. | Sren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen |
| 2016 | COLT | Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? | Aasa Feragen, Sren Hauberg |
| 2015 | CVPR | Geodesic exponential kernels: When curvature and linearity conflict. | Aasa Feragen, Franois Lauze, Sren Hauberg |
| 2015 | ICCV | Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. | Oren Freifeld, Sren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III |
| 2015 | MICCAI | A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. | Sren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen |
| 2014 | AISTATS | Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics. | Philipp Hennig, Sren Hauberg |
| 2014 | CVPR | Model Transport: Towards Scalable Transfer Learning on Manifolds. | Oren Freifeld, Sren Hauberg, Michael J. Black |
| 2014 | CVPR | Grassmann Averages for Scalable Robust PCA. | Sren Hauberg, Aasa Feragen, Michael J. Black |
| 2014 | MICCAI | Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. | Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Sren Hauberg |
| 2014 | UAI | Metrics for Probabilistic Geometries. | Alessandra Tosi, Sren Hauberg, Alfredo Vellido, Neil D. Lawrence |
| 2011 | ICANN | An Empirical Study on the Performance of Spectral Manifold Learning Techniques. | Peter Mysling, Sren Hauberg, Kim Steenstrup Pedersen |
| 2011 | ICCV | Means in spaces of tree-like shapes. | Aasa Feragen, Sren Hauberg, Mads Nielsen, Franois Lauze |
| 2010 | ACCV | Stick It! Articulated Tracking Using Spatial Rigid Object Priors. | Sren Hauberg, Kim Steenstrup Pedersen |
| 2010 | ECCV | GPU Accelerated Likelihoods for Stereo-Based Articulated Tracking. | Rune Mllegaard Friborg, Sren Hauberg, Kenny Erleben |
| 2010 | ECCV | Gaussian-Like Spatial Priors for Articulated Tracking. | Sren Hauberg, Stefan Sommer, Kim Steenstrup Pedersen |
| 2010 | ECCV | Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. | Stefan Sommer, Franois Lauze, Sren Hauberg, Mads Nielsen |