Søren's P1 Publications
Exploring Bidirectional Bounds for Minimax-Training of Energy-Based Models
Cong Geng, Jia Wang, Li Chen, Zhiyong Gao, Jes Frellsen, Søren Hauberg
Foundation models of protein sequences: A brief overview
Andreas Bjerregaard, Peter M. Groth, Søren Hauberg, Anders Krogh, Wouter Boomsma
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
Marco Miani, Lorenzo Beretta, Søren Hauberg
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma
Learning to Taste: A Multimodal Wine Dataset
Thoranna Bender, Simon M. Sørensen, Alireza Kashani, Kristjan E. Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge Belongie, Frederik Warburg
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg
Adaptive Cholesky Gaussian Processes
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
Laplacian Autoencoders for Learning Stochastic Representations
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki S. Detlefsen, Søren Hauberg