Theofanis Karaletsos
11 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (7)
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Hot Topic Early Bird
π
Conference Polyglot
(7)
π
Academic Marathon
(8)
π
Grand Slam
π₯
Mega-Team
(25)
π
Century Club
(11)
π₯
Unstoppable
(7)
Conferences
ICML (3)
NIPS (3)
AAAI (1)
AISTATS (1)
CVPR (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
variational inference
(4)
bayesian inference
(2)
bayesian neural network
(2)
gaussian process
(2)
latent variable
(2)
approximate inference
(1)
multi-task learning
(1)
continual learning
(1)
uncertainty quantification
(1)
mixture distribution
(1)
embedding learning
(1)
deep learning
(1)
metric learning
(1)
model-based reinforcement learning
(1)
probabilistic programming
(1)
transfer learning
(1)
sparse modeling
(1)
data summarization
(1)
variance reduction
(1)
catastrophic forgetting
(1)
Papers
Variational Control for Guidance in Diffusion Models
ICML 2025
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
ICLR 2024
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
NIPS 2023
Black-box coreset variational inference
NIPS 2022
Variational Auto-Regressive Gaussian Processes for Continual Learning
ICML 2021
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
NIPS 2020
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials
AAAI 2020
Pyro: Deep Universal Probabilistic Programming
JMLR 2019
Pathwise Derivatives for Multivariate Distributions
AISTATS 2019
Conditional Similarity Networks
CVPR 2017