Jørgensen, Martin

10 publications

AISTATS 2024 Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne

TMLR 2023 Bayesian Quadrature for Neural Ensemble Search Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne

ICMLW 2023 SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A Osborne

AISTATS 2022 Last Layer Marginal Likelihood for Invariance Learning Pola Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark Van Der Wilk

NeurIPS 2022 Bezier Gaussian Processes for Tall and Wide Data Martin Jørgensen, Michael A Osborne

NeurIPS 2022 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A Osborne

UAI 2022 Probabilistic Spatial Transformer Networks Pola Schwöbel, Frederik Rahbæk Warburg, Martin Jørgensen, Kristoffer Hougaard Madsen, Søren Hauberg

ICCV 2021 Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg

ICML 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data Martin Jørgensen, Soren Hauberg

NeurIPS 2019 Reliable Training and Estimation of Variance Networks Nicki Skafte, Martin Jørgensen, Søren Hauberg