AI Paper Atlas

Research map / Time series / Causal and generative time series

Neural Controlled Differential Equations for Irregular Time Series

NeurIPS 2020 · Time series › Causal and generative time series · approach: Neural differential equations · 153 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add observational intensity channels (ablation)Neural CDE · PhysioNet sepsis predictionAUC: 0.776 ± 0.009 -> 0.880 ± 0.006Helped
Constrain the final linear layer to a rank-one outer product (ablation)Neural CDE · Classification experimentsclassification performanceHurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy