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Markus Heinonen

Identifiers

  • name variant Markus Heinonen 0.60 · backfill

Papers (13)

  1. PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference stat.ML · 2025 · author #7
  2. Neural Non-Stationary Spectral Kernel cs.LG · 2018 · author #2
  3. Deep learning with differential Gaussian process flows cs.LG · 2018 · author #2
  4. Deep convolutional Gaussian processes cs.LG · 2018 · author #3
  5. Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching stat.ML · 2018 · author #2
  6. Bayesian Metabolic Flux Analysis reveals intracellular flux couplings stat.ML · 2018 · author #1
  7. Variational zero-inflated Gaussian processes with sparse kernels stat.ML · 2018 · author #2
  8. Learning unknown ODE models with Gaussian processes stat.ML · 2018 · author #1
  9. mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusion stat.ML · 2018 · author #2
  10. A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings stat.ML · 2017 · author #2
  11. Random Fourier Features for Operator-Valued Kernels cs.LG · 2016 · author #3
  12. Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo stat.ML · 2015 · author #1
  13. Learning nonparametric differential equations with operator-valued kernels and gradient matching cs.LG · 2014 · author #1

Mentions

  • 1411.5172 #1 · backfill · confidence 0.70 Markus Heinonen

Frequent Coauthors