Gianluca Detommaso
5 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Natural Language Processing
(2)
Applications
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
bayesian inference
(2)
confidence score
(2)
uncertainty quantification
(2)
embedding space
(1)
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)
invertible neural network
(1)
kernel methods
(1)
large language model
(1)
functional gradient descent
(1)
scalable bayesian
(1)
Papers
Distance-aware Calibration for Pre-trained Language Models
EMNLP 2024
Fortuna: A Library for Uncertainty Quantification in Deep Learning
JMLR 2024
Multicalibration for Confidence Scoring in LLMs
ICML 2024
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
AAAI 2021
A Stein variational Newton method
NeurIPS 2018