Marco Miani
6 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Learning Types
(2)
Models
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
uncertainty quantification
(3)
laplace approximation
(3)
bayesian inference
(2)
variational inference
(2)
image retrieval
(1)
model calibration
(1)
fisher information
(1)
diffusion process
(1)
fisher information matrix
(1)
variational autoencoder
(1)
out-of-distribution detection
(1)
uncertainty estimation
(1)
bayesian neural network
(1)
bayesian deep learning
(1)
contrastive loss
(1)
alternating projection
(1)
point estimate
(1)
monte carlo em
(1)
lanczos algorithm
(1)
reparameterization invariance
(1)
Papers
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
AISTATS 2025
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
MICCAI 2024
Reparameterization invariance in approximate Bayesian inference
NeurIPS 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
NeurIPS 2024
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
NeurIPS 2023
Laplacian Autoencoders for Learning Stochastic Representations
NeurIPS 2022