Marco Miani

According to our database, Marco Miani authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Bayesian generative models can flag performance loss, bias, and out-of-distribution image content.

Miguel López-Pérez, Marco Miani, Valery Naranjo, Søren Hauberg, Aasa Feragen

CoRR, March, 2025

Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections.

Marco Miani, Hrittik Roy, Søren Hauberg

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Curious Explorer: A Provable Exploration Strategy in Policy Learning.

Marco Miani, Maurizio Parton, Marco Romito

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Reparameterization invariance in approximate Bayesian inference.

Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information.

Marco Miani, Lorenzo Beretta, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg

CoRR, 2023

Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval.

Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Laplacian Autoencoders for Learning Stochastic Representations.

Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022