Sebastian Trimpe

Probabilistic & Bayesian Methods · with Daniel · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Trimpe trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Michalis K. Titsias (in Probabilistic & Bayesian Methods)

Papers from Sebastian Trimpe's perspective

Ordered by how strongly the researchers Sebastian Trimpe trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Sparse Gaussian Processes using Pseudo-inputs
  3. On the difficulty of training recurrent neural networks
  4. PILCO: A Model-Based and Data-Efficient Approach to Policy Search
  5. Generating Text with Recurrent Neural Networks
  6. Sequential Neural Models with Stochastic Layers
  7. Gaussian Processes for Big Data
  8. Variational Learning of Inducing Variables in Sparse Gaussian Processes
  9. GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
  10. Variational Inference: A Review for Statisticians

Their papers