3 citations · 5 across the 7 of their papers we have counts for
11 papers
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data
Hanbaek Lyu, Georg Menz, Deanna Needell +1
Online nonnegative matrix factorization (ONMF) is a matrix factorization technique in the online setting where data are acquired in a streaming fashion and the matrix factors are u…
On the number of contingency tables and the independence heuristic
Hanbaek Lyu, Igor Pak
We obtain sharp asymptotic estimates on the number of contingency tables with two linear margins and . The results imply a second order phase transition on t…
Stretched exponential decay for subcritical parking times on
Michael Damron, Hanbaek Lyu, David Sivakoff
In the parking model on , each vertex is initially occupied by a car (with probability ) or by a vacant parking spot (with probability ). Cars perform indepen…
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
Hanbaek Lyu, Christopher Strohmeier, Georg Menz +1
Predicting the spread and containment of COVID-19 is a challenge of utmost importance that the broader scientific community is currently facing. One of the main sources of difficul…
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
Yuchen Guo, Nicholas Hanoian, Zhexiao Lin +8
We propose a novel model for a topic-aware chatbot by combining the traditional Recurrent Neural Network (RNN) encoder-decoder model with a topic attention layer based on Nonnegati…
Online matrix factorization for Markovian data and applications to Network Dictionary Learning
Hanbaek Lyu, Deanna Needell, Laura Balzano
Online Matrix Factorization (OMF) is a fundamental tool for dictionary learning problems, giving an approximate representation of complex data sets in terms of a reduced number of…