Sergio Calvo-Ordoñez

According to our database, Sergio Calvo-Ordoñez authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Neural Tangent Kernel for Classification.

Jonathan Plenk, Sergio Calvo-Ordoñez, Álvaro Cartea, Yarin Gal, Mark van der Wilk, Kamil Ciosek

CoRR, May, 2026

Activation-Space Uncertainty Quantification for Pretrained Networks.

Richard Bergna, Stefan Depeweg, Sergio Calvo-Ordoñez, Jonathan Plenk, Álvaro Cartea, José Miguel Hernández-Lobato

CoRR, February, 2026

Richer Bayesian Last Layers with Subsampled NTK Features.

Sergio Calvo-Ordoñez, Jonathan Plenk, Richard Bergna, Álvaro Cartea, Yarin Gal, José Miguel Hernández-Lobato, Kamil Ciosek

CoRR, February, 2026

2025

Weighted Conditional Flow Matching.

Sergio Calvo-Ordoñez, Matthieu Meunier, Álvaro Cartea, Christoph Reisinger, Yarin Gal, José Miguel Hernández-Lobato

CoRR, July, 2025

Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes.

Richard Bergna, Stefan Depeweg, Sergio Calvo-Ordoñez, Jonathan Plenk, Álvaro Cartea, José Miguel Hernández-Lobato

CoRR, February, 2025

Observation Noise and Initialization in Wide Neural Networks.

Sergio Calvo-Ordoñez, Jonathan Plenk, Richard Bergna, Álvaro Cartea, José Miguel Hernández-Lobato, Konstantina Palla, Kamil Ciosek

CoRR, February, 2025

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations.

Richard Bergna, Sergio Calvo-Ordoñez, Felix L. Opolka, Pietro Lio, José Miguel Hernández-Lobato

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

The Missing U for Efficient Diffusion Models.

Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2024

Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel.

Sergio Calvo-Ordoñez, Konstantina Palla, Kamil Ciosek

CoRR, 2024

Partially Stochastic Infinitely Deep Bayesian Neural Networks.

Sergio Calvo-Ordoñez, Matthieu Meunier, Francesco Piatti, Yuantao Shi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Beyond U: Making Diffusion Models Faster & Lighter.

Sergio Calvo-Ordoñez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023