More from the Same Authors

• 2021 : A kernel for continuously relaxed, discrete Bayesian optimization of protein sequences »
  Yevgen Zainchkovskyy · Simon Bartels · Søren Hauberg · Jes Frellsen · Wouter Boomsma
• 2022 : Probabilistic thermal stability prediction through sparsity promoting transformer representation »
  Yevgen Zainchkovskyy · Jesper Ferkinghoff-Borg · Anja Bennett · Thomas Egebjerg · Nikolai Lorenzen · Per Greisen · Søren Hauberg · Carsten Stahlhut
• 2022 : Optimal Latent Transport »
  Hrittik Roy · Søren Hauberg
• 2022 : Identifying latent distances with Finslerian geometry »
  Alison Pouplin · David Eklund · Carl Henrik Ek · Søren Hauberg
• 2023 : Beyond Parameter Averaging in Model Aggregation »
  Pol Garcia Recasens · Jordi Torres · Josep Lluís Berral · Søren Hauberg · Pablo Moreno-Muñoz
• 2023 Poster: Learning to Taste: A Multimodal Wine Dataset »
  Thoranna Bender · Simon Sørensen · Alireza Kashani · Kristjan Hjorleifsson · Grethe Hyldig · Søren Hauberg · Serge Belongie · Frederik Warburg
• 2023 Poster: On Masked Pre-training and the Marginal Likelihood »
  Pablo Moreno-Muñoz · Pol Garcia Recasens · Søren Hauberg
• 2023 Poster: Riemannian Laplace approximations for Bayesian neural networks »
  Federico Bergamin · Pablo Moreno-Muñoz · Søren Hauberg · Georgios Arvanitidis
• 2023 Poster: Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval »
  Frederik Warburg · Marco Miani · Silas Brack · Søren Hauberg
• 2022 Poster: Revisiting Active Sets for Gaussian Process Decoders »
  Pablo Moreno-Muñoz · Cilie Feldager · Søren Hauberg
• 2022 Poster: Laplacian Autoencoders for Learning Stochastic Representations »
  Marco Miani · Frederik Warburg · Pablo Moreno-Muñoz · Nicki Skafte · Søren Hauberg
• 2021 Poster: Bounds all around: training energy-based models with bidirectional bounds »
  Cong Geng · Jia Wang · Zhiyong Gao · Jes Frellsen · Søren Hauberg
• 2020 : Isometric Gaussian Process Latent Variable Model »
  Martin Jørgensen · Søren Hauberg
• 2020 : Invited Talk 3: Reparametrization invariance in representation learning »
  Søren Hauberg
• 2019 Poster: Reliable training and estimation of variance networks »
  Nicki Skafte · Martin Jørgensen · Søren Hauberg
• 2019 Poster: Explicit Disentanglement of Appearance and Perspective in Generative Models »
  Nicki Skafte · Søren Hauberg
• 2016 Poster: A Locally Adaptive Normal Distribution »
  Georgios Arvanitidis · Lars K Hansen · Søren Hauberg