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A Cookbook for Deep Continuous-Time Predictive Models
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- 1 Intro
- 2 A Cookbook For Deep Continuous-Time Predictive Models
- 3 Motivation: Irregularly-timed datasets
- 4 Simplest options
- 5 Ordinary Differential Equations
- 6 Autoregressive continuous-time
- 7 Limitations of RNN-based models
- 8 Latent variable models
- 9 ODE latent-variable model
- 10 Physionet: Predictive accuracy
- 11 Poisson Process Likelihoods
- 12 Limitations of Latent ODEs
- 13 Stochastic transition dynamics
- 14 What are SDEs good for?
- 15 What is "running an SDE backwards"?
- 16 Variational inference
- 17 1D Latent SDE
- 18 Summary
- 19 Related work 1
- 20 Related work 2
