Scholar
Sergio Calvo-Ordonez
Google Scholar ID: j39UsOEAAAAJ
DPhil in Mathematics, University of Oxford
Citations & Impact
Citations
18
H-index
2
i10-index
1
Publications
8
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Major/recent publications include:
- - Weighted Conditional Flow Matching
- - Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
- - A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks
- - Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
- - Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations (ICLR 2025, Spotlight)
- - Partially Stochastic Infinitely Deep Bayesian Neural Networks (ICML 2024)
- - The Missing U for Faster & Lighter Diffusion Models (TMLR, 2024)
- - Prizes, awards, and scholarships: Oxford-Man Institute DPhil Scholarship, Senior Hulme Scholarship for Academic Excellence, Nova 111 Student List 2024, QMUL School of Physical and Chemical Sciences Dean's List (x3) - Ranked top 1%, Citadel Securities PhD Summit - 2nd Prize Poster Presentation.
Research Experience
- Teaching Assistant for MCF Statistics and Financial Data Analysis.
Education
- BSc, MPhil (Cambridge); DPhil in Mathematics student; CDT in Mathematics of Random Systems student.
Background
- Research interests: probabilistic machine learning and dynamical systems, with an emphasis on uncertainty quantification and generative models for robust and reliable AI systems.
Miscellany
- Pronouns: He / Him; Contact: +447716785997; LinkedIn: https://www.linkedin.com/in/sergio-calvo-ordonez/; ORCID iD: https://orcid.org/0000-0003-0791-3569
