| Laplacian autoencoders for learning stochastic representations M Miani, F Warburg, P Moreno-Muñoz, N Skafte, S Hauberg Advances in Neural Information Processing Systems 35, 21059-21072, 2022 | 13 | 2022 |
| Bayesian metric learning for uncertainty quantification in image retrieval F Warburg, M Miani, S Brack, S Hauberg Advances in Neural Information Processing Systems 36, 69178-69190, 2023 | 10 | 2023 |
| Stochman NS Detlefsen, A Pouplin, CW Feldager, C Geng, D Kalatzis, H Hauschultz, ... GitHub. Note: https://github. com/MachineLearningLifeScience/stochman 3, 4, 2021 | 6 | 2021 |
| Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty K Zepf, S Wanna, M Miani, J Moore, J Frellsen, S Hauberg, A Feragen, ... arXiv preprint arXiv:2303.13123, 2023 | 4 | 2023 |
| Reparameterization invariance in approximate Bayesian inference H Roy, M Miani, CH Ek, P Hennig, M Pförtner, L Tatzel, S Hauberg arXiv preprint arXiv:2406.03334, 2024 | 3 | 2024 |
| Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information M Miani, L Beretta, S Hauberg arXiv preprint arXiv:2409.15008, 2024 | 1 | 2024 |
| Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections M Miani, H Roy, S Hauberg arXiv preprint arXiv:2410.16901, 2024 | | 2024 |
| Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification K Zepf, S Wanna, M Miani, J Moore, J Frellsen, S Hauberg, F Warburg, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Curious Explorer: a provable exploration strategy in Policy Learning M Miani, M Parton, M Romito IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| Reparameterization invariance in approximate Bayesian inference P Hennig, S Hauberg, L Tatzel, M Pförtner, CH Ek, M Miani, H Roy arXiv, 2024 | | 2024 |
Søren HaubergCognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
