9 citations · 36 across the 14 of their papers we have counts for
4 papers · 1 filter
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman, Anders Hansson, Bo Wahlberg
This paper investigates the use of nonparametric kernel-regression to obtain a tasksimilarity aware meta-learning algorithm. Our hypothesis is that the use of tasksimilarity helps…
Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University
Alireza M. Javid, Xinyue Liang, Arun Venkitaraman +1
We provide a predictive analysis of the spread of COVID-19, also known as SARS-CoV-2, using the dataset made publicly available online by the Johns Hopkins University. Our main obj…
High-dimensional Neural Feature Design for Layer-wise Reduction of Training Cost
Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund +1
We design a ReLU-based multilayer neural network by mapping the feature vectors to a higher dimensional space in every layer. We design the weight matrices in every layer to ensure…
Recursive Prediction of Graph Signals with Incoming Nodes
Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
Kernel and linear regression have been recently explored in the prediction of graph signals as the output, given arbitrary input signals that are agnostic to the graph. In many rea…