Search Results for author: Z. Fu

Found 5 papers, 2 papers with code

Generative Models for Simulation of KamLAND-Zen

no code implementations22 Dec 2023 Z. Fu, C. Grant, D. M. Krawiec, A. Li, L. Winslow

The next generation of searches for neutrinoless double beta decay (0{\nu}\b{eta}\b{eta}) are poised to answer deep questions on the nature of neutrinos and the source of the Universe's matter-antimatter asymmetry.

KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event Search in KamLAND-Zen

1 code implementation3 Mar 2022 A. Li, Z. Fu, L. Winslow, C. Grant, H. Song, H. Ozaki, I. Shimizu, A. Takeuchi

A key component of this work is the addition of an attention mechanism to elucidate the underlying physics KamNet is using for the background rejection.

Benchmarking

Learnt dynamics generalizes across tasks, datasets, and populations

no code implementations4 Dec 2019 U. Mahmood, M. M . Rahman, A. Fedorov, Z. Fu, V. D. Calhoun, S. M. Plis

Differentiating multivariate dynamic signals is a difficult learning problem as the feature space may be large yet often only a few training examples are available.

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