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Bryan Zaldívar

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • hep-lat2
  • hep-ex1
  • stat.ML1
ORCID 0000-0002-6313-6525

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedStochastic automatic differentiation for Monte Carlo processes

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

hep-lat2024

The dependence of observables on action parameters

Guilherme Catumba, Alberto Ramos, Bryan Zaldivar

Many applications in Lattice field theory require to determine the Taylor series of observables with respect to action parameters. A primary example is the determination of electro…

hep-ex2023★ 1 cited

Measurement of the neutrino-oxygen neutral-current quasielastic cross section using atmospheric neutrinos in the SK-Gd experiment

S. Sakai, K. Abe, C. Bronner +233

We report the first measurement of the atmospheric neutrino-oxygen neutral-current quasielastic (NCQE) cross section in the gadolinium-loaded Super-Kamiokande (SK) water Cherenkov…

hep-lat2023★ 2 cited

Stochastic automatic differentiation for Monte Carlo processes

Guilherme Catumba, Alberto Ramos, Bryan Zaldivar

Monte Carlo methods represent a cornerstone of computer science. They allow to sample high dimensional distribution functions in an efficient way. In this paper we consider the ext…

stat.ML2022

Correcting Model Bias with Sparse Implicit Processes

Simón Rodríguez Santana, Luis A. Ortega, Daniel Hernández-Lobato +1

Model selection in machine learning (ML) is a crucial part of the Bayesian learning procedure. Model choice may impose strong biases on the resulting predictions, which can hinder…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.