Axel Brando
4 papers · 2019–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(3)
Machine Learning
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory
(2)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
uncertainty estimation
(2)
quantile regression
(2)
deep learning
(2)
epistemic uncertainty
(1)
neural network optimization
(1)
mutual information
(1)
conditional distribution
(1)
diffusion model
(1)
mixture model
(1)
vine copula
(1)
model ensemble
(1)
aleatoric uncertainty
(1)
deep learning framework
(1)
heterogeneous distribution
(1)
non-crossing quantile
(1)
image generation
(1)
asymmetric laplacian
(1)
probabilistic modeling
(1)
bayesian inference
(1)
Papers
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
UAI 2024
Retrospective Uncertainties for Deep Models using Vine Copulas
AISTATS 2023
Deep Non-crossing Quantiles through the Partial Derivative
AISTATS 2022
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
NeurIPS 2019