2 citations · 5 across the 6 of their papers we have counts for
6 papers
ColA: Collaborative Adaptation with Gradient Learning
Enmao Diao, Qi Le, Suya Wu +4
A primary function of back-propagation is to compute both the gradient of hidden representations and parameters for optimization with gradient descent. Training large models requir…
Large Deviation Analysis of Score-based Hypothesis Testing
Enmao Diao, Taposh Banerjee, Vahid Tarokh
Score-based statistical models play an important role in modern machine learning, statistics, and signal processing. For hypothesis testing, a score-based hypothesis test is propos…
Robust Quickest Change Detection for Unnormalized Models
Suya Wu, Enmao Diao, Taposh Banerjee +2
Detecting an abrupt and persistent change in the underlying distribution of online data streams is an important problem in many applications. This paper proposes a new robust score…
Semi-Supervised Federated Learning for Keyword Spotting
Enmao Diao, Eric W. Tramel, Jie Ding +1
Keyword Spotting (KWS) is a critical aspect of audio-based applications on mobile devices and virtual assistants. Recent developments in Federated Learning (FL) have significantly…
Quickest Change Detection for Unnormalized Statistical Models
Suya Wu, Enmao Diao, Taposh Banerjee +2
Classical quickest change detection algorithms require modeling pre-change and post-change distributions. Such an approach may not be feasible for various machine learning models b…
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh +1
We use a data-driven approach to model a three-dimensional turbulent flow using cutting-edge Deep Learning techniques. The deep learning framework incorporates physical constraints…