Daniel Hernández-lobato
21 papers · 2011–2024 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 6 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Daniel Hernández-lobato?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with José Miguel Hernández-Lobato, Pierre Dupont, Viktoriia Sharmanska
9 papers
· 2011–2021
· NeurIPS, ICLR, CVPR
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Activation-level uncertainty in deep neural networks
ICLR 2021
Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations
CVPR 2016
Scalable Gaussian Process Classification via Expectation Propagation
AISTATS 2016
A Probabilistic Model for Dirty Multi-task Feature Selection
ICML 2015
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
NeurIPS 2014
Gaussian Process Conditional Copulas with Applications to Financial Time Series
NeurIPS 2013
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
JMLR 2013
Learning Feature Selection Dependencies in Multi-task Learning
NeurIPS 2013
Robust Multi-Class Gaussian Process Classification
NeurIPS 2011