Session 1: Theme - Data Science & Quantum Technologies I; Methods & Modelling
Running from 11.20-12.30
- Confidence sequences with informative, bounded-influence priors (Valentin Kilian)
- Structured linear controlled differential equations (Benjamin Walker)
- Learning growth laws from sparse data with Biologically-Informed Neural Networks (Rebecca Crossley)
- Enhancing agent-based models with computational techniques for macroeconomic crisis analysis (Elena Lickel)
- Towards provable provenance and privacy-preserving queries in decentralised data architectures (Jesse Wright)
- Quantum cryptography (Matthew Gray)