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• Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
  2016 · 77 citations
• Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series
  2016 · 41 citations
• Variational Inference with Hamiltonian Monte Carlo
  2016 · 14 citations
• Learning Hierarchical Priors in VAEs
  2019 · 6 citations
• Fast Approximate Geodesics for Deep Generative Models
  2018 · 2 citations
• Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs
  2022 · 1 citations
• Increasing the Generalisation Capacity of Conditional VAEs
  2019
• Variational Tracking and Prediction with Generative Disentangled State-Space Models
  2019
• Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
  2021