Bryan Zaldivar

According to our database, Bryan Zaldivar authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Stochastic automatic differentiation for Monte Carlo processes.

Guilherme Catumba, Alberto Ramos, Bryan Zaldivar

Comput. Phys. Commun., 2025

2022

Correcting Model Bias with Sparse Implicit Processes.

Simón Rodríguez Santana, Luis A. Ortega Andrés, Daniel Hernández-Lobato, Bryan Zaldivar

CoRR, 2022

Function-space Inference with Sparse Implicit Processes.

Simón Rodríguez Santana, Bryan Zaldivar, Daniel Hernández-Lobato

Proceedings of the International Conference on Machine Learning, 2022

2021

Interaction-free measurements and counterfactual computation in IBM quantum computers.

J. Alberto Casas, Bryan Zaldivar

Quantum Inf. Process., 2021

Multi-class Gaussian Process Classification with Noisy Inputs.

Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

J. Mach. Learn. Res., 2021

Sparse Implicit Processes for Approximate Inference.

Simón Rodríguez Santana, Bryan Zaldivar, Daniel Hernández-Lobato

CoRR, 2021

2018

micrOMEGAs5.0 : Freeze-in.

Geneviève Bélanger, Fawzi Boudjema, A. Goudelis, Alexander Pukhov, Bryan Zaldivar

Comput. Phys. Commun., 2018