Search Results for author:
Found 15 papers, 4 papers with code
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices
A transmission matrix (TM) describes the linear relationship between input and output phasor fields when a coherent wave passes through a scattering medium.
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
Semi-structured interviews (SSIs) are a commonly employed data-collection method in healthcare research, offering in-depth qualitative insights into subject experiences.
ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO
As wireless communication systems strive to improve spectral efficiency, there has been a growing interest in employing machine learning (ML)-based approaches for adaptive modulation and coding scheme (MCS) selection.
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion
We propose a solution for linear inverse problems based on higher-order Langevin diffusion.
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
To this end, we propose a dedicated neural architecture search framework for Energy-efficient and Real-time SAM (ERSAM).
Accelerated massive MIMO detector based on annealed underdamped Langevin dynamics
We propose a multiple-input multiple-output (MIMO) detector based on an annealed version of the \emph{underdamped} Langevin (stochastic) dynamic.
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment
Psychomotor retardation in depression has been associated with speech timing changes from dyadic clinical interviews.
Consensus ADMM-Based Distributed Simultaneous Imaging & Communication
This paper takes the first steps toward enabling wireless networks to perform both imaging and communication in a distributed manner.
Annealed Langevin Dynamics for Massive MIMO Detection
Based on the proposed MIMO detector, we also design a robust version of the method by unfolding and parameterizing one term -- the score of the likelihood -- by a neural network.
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics
Optimal symbol detection in multiple-input multiple-output (MIMO) systems is known to be an NP-hard problem.
Coded Estimation: Design of Backscatter Array Codes for 3D Orientation Estimation
We consider the problem of estimating the orientation of a 3D object with the assistance of configurable backscatter tags.
Robust MIMO Detection using Hypernetworks with Learned Regularizers
Our method is based on hypernetworks that generate the parameters of a neural network-based detector that works well on a specific channel.
Understanding Reflection Needs for Personal Health Data in Diabetes
To empower users of wearable medical devices, it is important to enable methods that facilitate reflection on previous care to improve future outcomes.
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification
The drawbacks of the above two directions motivate us to design a new framework which can jointly leverage both web data and auxiliary labeled categories to predict the test categories that are not associated with any well-labeled training images.
TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets
We study gaze estimation on tablets, our key design goal is uncalibrated gaze estimation using the front-facing camera during natural use of tablets, where the posture and method of holding the tablet is not constrained.
