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Andreas Damianou

Identifiers

  • name variant Andreas Damianou 0.60 · backfill

Papers (14)

  1. Variational Information Distillation for Knowledge Transfer cs.CV · 2019 · author #3
  2. Deep Gaussian Processes for Multi-fidelity Modeling stat.ML · 2019 · author #3
  3. Transferring Knowledge across Learning Processes cs.LG · 2018 · author #4
  4. Deep Gaussian Processes with Convolutional Kernels stat.ML · 2018 · author #4
  5. Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa cs.LG · 2018 · author #3
  6. Preferential Bayesian Optimization stat.ML · 2017 · author #3
  7. Manifold Alignment Determination: finding correspondences across different data views stat.ML · 2017 · author #1
  8. Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis stat.ML · 2016 · author #1
  9. Inverse Reinforcement Learning via Deep Gaussian Process cs.LG · 2015 · author #2
  10. Recurrent Gaussian Processes cs.LG · 2015 · author #3
  11. Variational Auto-encoded Deep Gaussian Processes cs.LG · 2015 · author #2
  12. Semi-described and semi-supervised learning with Gaussian processes stat.ML · 2015 · author #1
  13. Gaussian Process Models with Parallelization and GPU acceleration cs.DC · 2014 · author #2
  14. Factorized Topic Models cs.LG · 2013 · author #3

Mentions

  • 1301.3461 #3 · backfill · confidence 0.70 Andreas Damianou

Frequent Coauthors