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.
no code implementations • 31 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).
no code implementations • 12 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.
1 code implementation • 5 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.
no code implementations • 20 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.
no code implementations • 8 May 2023 • Nicolas Zilberstein, Ashutosh Sabharwal, Santiago Segarra
We propose a solution for linear inverse problems based on higher-order Langevin diffusion.
no code implementations • 19 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).
1 code implementation • 26 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.
no code implementations • 8 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.
no code implementations • 20 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.
1 code implementation • 11 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.
1 code implementation • 24 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.
no code implementations • 1 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.
no code implementations • 13 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.
no code implementations • 24 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.
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.
no code implementations • 5 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.