Jose Principe
6 papers · 2010–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (13) π Cross-Pollinator (11)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
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Trend Setter
Conferences
AAAI (2)
IJCAI (2)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
information theory
(3)
mutual information
(2)
time series analysis
(1)
causal inference
(1)
point processes
(1)
feature selection
(1)
feature correlation
(1)
point process
(1)
time series generation
(1)
granger causality
(1)
bregman divergence
(1)
covariate shift
(1)
hypothesis testing
(1)
statistical testing
(1)
uncertainty quantification
(1)
concept drift
(1)
statistical dependence
(1)
gaussian kernel
(1)
non-parametric divergence
(1)
change point detection
(1)
Papers
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
AAAI 2023
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities
IJCAI 2021
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
IJCAI 2020
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework
UAI 2020
A novel family of non-parametric cumulative based divergences for point processes
NIPS 2010