69 citations · 104 across the 7 of their papers we have counts for
7 papers
Learning and Communications Co-Design for Remote Inference Systems: Feature Length Selection and Transmission Scheduling
Md Kamran Chowdhury Shisher, Bo Ji, I-Hong Hou +1
In this paper, we consider a remote inference system, where a neural network is used to infer a time-varying target (e.g., robot movement), based on features (e.g., video clips) th…
How Does Data Freshness Affect Real-time Supervised Learning?
Md Kamran Chowdhury Shisher, Yin Sun
In this paper, we analyze the impact of data freshness on real-time supervised learning, where a neural network is trained to infer a time-varying target (e.g., the position of the…
Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics
Haoyue Tang, Yin Sun, Leandros Tassiulas
In this paper, we study an online sampling problem of the Wiener process. The goal is to minimize the mean squared error (MSE) of the remote estimator under a sampling frequency co…
A Local Geometric Interpretation of Feature Extraction in Deep Feedforward Neural Networks
Md Kamran Chowdhury Shisher, Tasmeen Zaman Ornee, Yin Sun
In this paper, we present a local geometric analysis to interpret how deep feedforward neural networks extract low-dimensional features from high-dimensional data. Our study shows…
Optimal Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay
Jiayu Pan, Ahmed M. Bedewy, Yin Sun +1
In this paper, we aim to design an optimal sampler for a system in which fresh samples of a signal (source) are sent through an unreliable channel to a remote estimator, and acknow…
The Age of Correlated Features in Supervised Learning based Forecasting
Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang +2
In this paper, we analyze the impact of information freshness on supervised learning based forecasting. In these applications, a neural network is trained to predict a time-varying…