Justin Bayer
11 papers
· 2010–2024
· 7 conferences
· across top CS/AI conferences
Achievements
π
Interdisciplinary Bridge
π§
Keyword Pioneer
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Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(16)
π£
Hot Topic Early Bird
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Conference Polyglot
(7)
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Academic Marathon
(14)
π§¬
Topic Evolution
π
Century Club
(11)
π₯
Unstoppable
(7)
Conferences
AISTATS (2)
CORL (2)
ICLR (2)
L4DC (2)
ICML (1)
JMLR (1)
RSS (1)
Top co-authors
Keywords
variational autoencoder
(2)
latent space
(2)
variational inference
(2)
differentiable rendering
(2)
probabilistic inference
(2)
policy gradient
(1)
3d vision
(1)
neural architecture search
(1)
visual navigation
(1)
sequential model
(1)
approximate bayesian inference
(1)
riemannian geometry
(1)
riemannian manifold
(1)
state-space model
(1)
long short-term memory
(1)
recurrent neural network
(1)
generative adversarial network
(1)
world model
(1)
model-based control
(1)
deep belief network
(1)
Papers
Filter-Aware Model-Predictive Control
L4DC 2023
Learning Flat Latent Manifolds with VAEs
ICML 2020
Bayesian Learning of Neural Network Architectures
AISTATS 2019
Metrics for Deep Generative Models
AISTATS 2018
PyBrain
JMLR 2010