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Patrick van der Smagt

Identifiers

  • name variant Patrick van der Smagt 0.60 · backfill

Papers (27)

  1. Switching Linear Dynamics for Variational Bayes Filtering stat.ML · 2019 · author #3
  2. Bayesian Learning of Neural Network Architectures stat.ML · 2019 · author #2
  3. Fast Approximate Geodesics for Deep Generative Models stat.ML · 2018 · author #6
  4. Multi-Source Neural Variational Inference stat.ML · 2018 · author #3
  5. Active Learning based on Data Uncertainty and Model Sensitivity stat.ML · 2018 · author #5
  6. Approximate Bayesian inference in spatial environments stat.ML · 2018 · author #4
  7. Gaussian Process Neurons Learn Stochastic Activation Functions stat.ML · 2017 · author #3
  8. Automatic Differentiation for Tensor Algebras cs.SC · 2017 · author #2
  9. Metrics for Deep Generative Models stat.ML · 2017 · author #6
  10. Unsupervised Real-Time Control through Variational Empowerment stat.ML · 2017 · author #5
  11. Two-Stream RNN/CNN for Action Recognition in 3D Videos cs.CV · 2017 · author #3
  12. CNN-based Segmentation of Medical Imaging Data cs.CV · 2017 · author #3
  13. Variational Inference with Hamiltonian Monte Carlo stat.ML · 2016 · author #3
  14. Unsupervised preprocessing for Tactile Data cs.RO · 2016 · author #3
  15. ML-based tactile sensor calibration: A universal approach cs.RO · 2016 · author #8
  16. Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data stat.ML · 2016 · author #4
  17. A Differentiable Transition Between Additive and Multiplicative Neurons cs.LG · 2016 · author #2
  18. Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series stat.ML · 2016 · author #4
  19. Scalability in Neural Control of Musculoskeletal Robots cs.RO · 2016 · author #8
  20. Efficient Empowerment stat.ML · 2015 · author #3
  21. Fast Adaptive Weight Noise stat.ML · 2015 · author #4
  22. FlowNet: Learning Optical Flow with Convolutional Networks cs.CV · 2015 · author #7
  23. A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions stat.ML · 2015 · author #2
  24. On Fast Dropout and its Applicability to Recurrent Networks stat.ML · 2013 · author #6
  25. Convolutional Neural Networks learn compact local image descriptors cs.CV · 2013 · author #3
  26. Unsupervised Feature Learning for low-level Local Image Descriptors cs.CV · 2013 · author #4
  27. Learning Sequence Neighbourhood Metrics cs.NE · 2011 · author #3

Mentions

  • 1109.2034 #3 · backfill · confidence 0.70 Patrick van der Smagt

Frequent Coauthors