85 citations · 155 across the 17 of their papers we have counts for
14 papers · 1 filter
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta, E. A. Huerta, Zhizhen Zhao +1
Myocardial infarction is the leading cause of death worldwide. In this paper, we design domain-inspired neural network models to detect myocardial infarction. First, we study the c…
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang, Huozhi Zhou, Bingcong Li +2
Cascading bandit (CB) is a popular model for web search and online advertising, where an agent aims to learn the most attractive items out of a ground set of size during th…
Multi-Frequency Vector Diffusion Maps
Yifeng Fan, Zhizhen Zhao
We introduce multi-frequency vector diffusion maps (MFVDM), a new framework for organizing and analyzing high dimensional datasets. The new method is a mathematical and algorithmic…
Unsupervised Co-Learning on -Manifolds Across Irreducible Representations
Yifeng Fan, Tingran Gao, Zhizhen Zhao
We introduce a novel co-learning paradigm for manifolds naturally equipped with a group action, motivated by recent developments on learning a manifold from attached fibre bundle s…
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy
Yifeng Fan, Tingran Gao, Zhizhen Zhao
We develop in this paper a novel intrinsic classification algorithm -- multi-frequency class averaging (MFCA) -- for classifying noisy projection images obtained from three-dimensi…