Search Results for author: Ashutosh Sabharwal

Found 17 papers, 4 papers with code

3PointTM: Faster Measurement of High-Dimensional Transmission Matrices

no code implementations ECCV 2020 Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan

A transmission matrix (TM) describes the linear relationship between input and output phasor fields when a coherent wave passes through a scattering medium.

Image Reconstruction Retrieval +1

Leaky Wave Antenna-Equipped RF Chipless Tags for Orientation Estimation

no code implementations31 Aug 2024 Onel L. A. López, Zhu Han, Ashutosh Sabharwal

Our contributions include a comprehensive framework for signal modeling and orientation estimation with multi-subcarrier transmissions, and the formulation of a maximum likelihood estimator (MLE).

Scene Understanding TAG

Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks

no code implementations12 Jul 2024 Qing An, Divyanshu Pandey, Rahman Doost-Mohammady, Ashutosh Sabharwal, Srinivas Shakkottai

In this work, we introduce a channel-aware and SLA-aware RAN slicing framework for massive multiple input multiple output (MIMO) networks where resource allocation extends to incorporate the spatial dimension available through beamforming.

Scheduling

RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews

1 code implementation5 Feb 2024 Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B Patel

Semi-structured interviews (SSIs) are a commonly employed data-collection method in healthcare research, offering in-depth qualitative insights into subject experiences.

Language Modelling Large Language Model

ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO

no code implementations20 Oct 2023 Qing An, Mehdi Zafari, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady

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

no code implementations8 May 2023 Nicolas Zilberstein, Ashutosh Sabharwal, Santiago Segarra

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

no code implementations19 Mar 2023 Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Lin, Ashutosh Sabharwal

To this end, we propose a dedicated neural architecture search framework for Energy-efficient and Real-time SAM (ERSAM).

Neural Architecture Search

Accelerated massive MIMO detector based on annealed underdamped Langevin dynamics

1 code implementation26 Oct 2022 Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

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

no code implementations8 Sep 2022 Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal

Psychomotor retardation in depression has been associated with speech timing changes from dyadic clinical interviews.

Specificity

Consensus ADMM-Based Distributed Simultaneous Imaging & Communication

no code implementations20 Jun 2022 Nishant Mehrotra, Ashutosh Sabharwal, César A. Uribe

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

1 code implementation11 May 2022 Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

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

1 code implementation24 Feb 2022 Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

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

no code implementations1 Dec 2021 Mohamad Rida Rammal, Suhas Diggavi, Ashutosh Sabharwal

We consider the problem of estimating the orientation of a 3D object with the assistance of configurable backscatter tags.

TAG

Robust MIMO Detection using Hypernetworks with Learned Regularizers

no code implementations13 Oct 2021 Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra

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

no code implementations24 Jul 2020 Temiloluwa Prioleau, Ashutosh Sabharwal, Madhuri M. Vasudevan

To empower users of wearable medical devices, it is important to enable methods that facilitate reflection on previous care to improve future outcomes.

Data Integration Data Visualization +1

Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification

no code implementations CVPR 2018 Li Niu, Ashok Veeraraghavan, Ashutosh Sabharwal

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.

Fine-Grained Image Classification General Classification +1

TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets

no code implementations5 Aug 2015 Qiong Huang, Ashok Veeraraghavan, Ashutosh Sabharwal

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.

Gaze Estimation

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