Sotabase

Career

· Research Scientist, Spotify2024–2024
· DPhil in Mathematics student, University of Oxford2023–2027
· MPhil in Machine Learning graduate, University of Cambridge

Publications (9)

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
International Conference on Learning Representations · 2024
8
cited
Beyond U: Making Diffusion Models Faster & Lighter
arXiv.org · 2023
6
cited
Partially Stochastic Infinitely Deep Bayesian Neural Networks
International Conference on Machine Learning · 2024
6
cited
The Missing U for Efficient Diffusion Models
Trans. Mach. Learn. Res. · 2023
5
cited
A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks
2025
4
cited
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
arXiv.org · 2025
3
cited
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
arXiv.org · 2024
2
cited
Weighted Conditional Flow Matching
arXiv.org · 2025
1
cited
Richer Bayesian Last Layers with Subsampled NTK Features
2026
Sotabase
Sergio Calvo Ordoñez | Researcher Profile | Sotabase | Sotabase