Brian Quanz
4 papers · 2020–2022 · 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 ยท Bronze
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Interdisciplinary Bridge ยท Silver
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
representation learning
(2)
image generation
(1)
model selection
(1)
variational inference
(1)
anomaly detection
(1)
matrix factorization
(1)
multivariate time series
(1)
deep neural network
(1)
variational autoencoder
(1)
latent space
(1)
generative adversarial network
(1)
end-to-end learning
(1)
generalization gap
(1)
deep generative model
(1)
probabilistic forecasting
(1)
subset scanning
(1)
node activation
(1)
creative process
(1)
novelty metric
(1)
creative generation
(1)
Papers
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning
IJCAI 2022
Predicting Deep Neural Network Generalization with Perturbation Response Curves
NeurIPS 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
AAAI 2021
Toward a neuro-inspired creative decoder
IJCAI 2020