
Sergio Calvo Ordonez
BSc, MPhil (cantab)
Pronouns
He / Him
Status
Postgraduate Student
CDT in Mathematics of Random Systems Student
DPhil in Mathematics Student
Research groups
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Major / recent publications
- Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
R Bergna, S Depeweg, S Calvo-Ordonez, J Plenk, A Cartea, JM Hernandez-Lobato. - A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks
S Calvo-Ordonez, J Plenk, R Bergna, A Cartea, JM Hernandez Lobato, K Palla, K Ciosek. - Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
S Calvo-Ordonez, K Palla, K Ciosek. - Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations (ICLR 2025, Spotlight)
R Bergna, S Calvo-Ordonez, F L. Opolka, P Liò, JM Hernandez-Lobato. - Partially Stochastic Infinitely Deep Bayesian Neural Networks (ICML 2024)
S Calvo-Ordonez, M Meunier, F Piatti, Y Shi. - The Missing U for Faster & Lighter Diffusion Models (TMLR, 2024)
S Calvo-Ordonez, C Cheng, J Huang, L Zhang, G Yang, CB Schönlieb, AI Aviles-Rivero.
Preferred address
Oxford-Man Institute of Quantitative Finance, Eagle House, Walton Well Road, Oxford OX2 6ED
Prizes, awards, and scholarships
Oxford-Man Institute DPhil Scholarship
QMUL School of Physical and Chemical Sciences Dean's List (x3) - Ranked top 1%
Teaching
MCF Statistics and Financial Data Analysis (TA)
Research interests
My research focuses on probabilistic machine learning and dynamical systems, with an emphasis on uncertainty quantification and generative models for robust and reliable AI systems.