136 citations · 144 across the 5 of their papers we have counts for
6 papers
Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models
Sharan Ramjee
Chain-of-Thought (CoT) reasoning has emerged as a key technique for eliciting complex reasoning in Large Language Models (LLMs). Although interpretable, its dependence on natural l…
Ensemble Wrapper Subsampling for Deep Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
Subsampling of received wireless signals is important for relaxing hardware requirements as well as the computational cost of signal processing algorithms that rely on the output s…
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates
Xingchen Wang, Shengtai Ju, Xiwen Zhang +2
We study efficient deep learning training algorithms that process received wireless signals, if a test Signal to Noise Ratio (SNR) estimate is available. We focus on two tasks that…
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
Xiwen Zhang, Tolunay Seyfi, Shengtai Ju +3
We study the problem of interference source identification, through the lens of recognizing one of 15 different channels that belong to 3 different wireless technologies: Bluetooth…
Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination
Sharan Ramjee, Aly El Gamal
We propose a computationally efficient wrapper feature selection method - called Autoencoder and Model Based Elimination of features using Relevance and Redundancy scores (AMBER) -…
Fast Deep Learning for Automatic Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
In this work, we investigate the feasibility and effectiveness of employing deep learning algorithms for automatic recognition of the modulation type of received wireless communica…