Time series

2 entries

2026

- 8 February 2026 Writing Report
  Anomaly (Out-of-Distribution) Detection for Electrical Distribution Networks using Discrete Diffusion Methods
  The paper behind Grid Diffusion AD: discrete diffusion over quantised magnetic-field windows, trained on normal data only, scored against a false-alarm budget. The best configuration separated faults from normal weakly, and the paper reports that instead of rounding it up.
  - AI
  - Machine learning
  - Research
  - Time series

2025

View case study
Grid Diffusion AD

Diffusion models trained on normal magnetic-field signals, scored on whether they notice a fault they've never seen.
- AI
- Machine learning
- Research
- Time series