Gianluca Detommaso
5 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (1)
EMNLP (1)
ICML (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
bayesian inference
(2)
uncertainty quantification
(2)
text classification
(1)
density estimation
(1)
posterior sampling
(1)
posterior distribution
(1)
distribution shift
(1)
deep neural network
(1)
normalizing flow
(1)
out-of-distribution detection
(1)
stein variational gradient descent
(1)
newton method
(1)
post-hoc calibration
(1)
confidence score
(1)
invertible neural network
(1)
kernel methods
(1)
functional gradient descent
(1)
conformal prediction
(1)
scalable bayesian
(1)
variational inference
(1)
Papers
Distance-aware Calibration for Pre-trained Language Models
EMNLP 2024
Multicalibration for Confidence Scoring in LLMs
ICML 2024
Fortuna: A Library for Uncertainty Quantification in Deep Learning
JMLR 2024
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
AAAI 2021
A Stein variational Newton method
NIPS 2018