Theofanis Karaletsos

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Papers (13)

1. Position: agentic AI orchestration should be Bayes-consistent cs.AI · 2026 · author #13
2. Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference cs.LG · 2019 · author #3
3. Efficient transfer learning and online adaptation with latent variable models for continuous control cs.LG · 2018 · author #3
4. Pyro: Deep Universal Probabilistic Programming cs.LG · 2018 · author #6
5. Probabilistic Meta-Representations Of Neural Networks stat.ML · 2018 · author #1
6. Pathwise Derivatives for Multivariate Distributions stat.ML · 2018 · author #2
7. Likelihood-free inference with emulator networks stat.ML · 2018 · author #3
8. Adversarial Message Passing For Graphical Models stat.ML · 2016 · author #1
9. Conditional Similarity Networks cs.CV · 2016 · author #3
10. Knowledge Transfer with Medical Language Embeddings cs.CL · 2016 · author #2
11. A Generative Model of Words and Relationships from Multiple Sources cs.CL · 2015 · author #2
12. Bayesian representation learning with oracle constraints stat.ML · 2015 · author #1
13. Automatic Relevance Determination For Deep Generative Models stat.ML · 2015 · author #1

Mentions

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Frequent Coauthors

• Gunnar R\"atsch 4 shared papers
• Martin Jankowiak 2 shared papers
• Paul Szerlip 2 shared papers
• Rohit Singh 2 shared papers
• Serge Belongie 2 shared papers
• Stephanie L. Hyland 2 shared papers
• Alexey Zaytsev 1 shared papers
• Andreas Veit 1 shared papers
• Andrew Davison 1 shared papers
• Andrew Gordon Wilson 1 shared papers
• Andrew Y. K. Foong 1 shared papers
• Artem Shelmanov 1 shared papers
• Christian F. Perez 1 shared papers
• Clare Lyle 1 shared papers
• Dimitris Fouskakis 1 shared papers
• Eli Bingham 1 shared papers
• Eyke H\"ullermeier 1 shared papers
• Fang Liu 1 shared papers
• Felipe Petroski Such 1 shared papers
• Fritz Obermeyer 1 shared papers