16 citations · 17 across the 4 of their papers we have counts for
9 papers
ML-aided power allocation for Tactical MIMO
Arindam Chowdhury, Gunjan Verma, Chirag Rao +2
We study the problem of optimal power allocation in single-hop multi-antenna ad-hoc wireless networks. A standard technique to solve this problem involves optimizing a tri-convex f…
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels
Artun Bayer, Arindam Chowdhury, Santiago Segarra
Graph neural networks (GNNs) have achieved superior performance on node classification tasks in the last few years. Commonly, this is framed in a transductive semi-supervised learn…
Efficient power allocation using graph neural networks and deep algorithm unfolding
Arindam Chowdhury, Gunjan Verma, Chirag Rao +2
We study the problem of optimal power allocation in a single-hop ad hoc wireless network. In solving this problem, we propose a hybrid neural architecture inspired by the algorithm…
Unfolding WMMSE using Graph Neural Networks for Efficient Power Allocation
Arindam Chowdhury, Gunjan Verma, Chirag Rao +2
We study the problem of optimal power allocation in a single-hop ad hoc wireless network. In solving this problem, we depart from classical purely model-based approaches and propos…
Accelerography: Feasibility of Gesture Typing using Accelerometer
Arindam Roy Chowdhury, Abhinandan Dalal, Shubhajit Sen
In this paper, we aim to look into the feasibility of constructing alphabets using gestures. The main idea is to construct gestures, that are easy to remember, not cumbersome to re…
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks
Monika Sharma, Shikha Gupta, Arindam Chowdhury +1
Despite the improvements in perception accuracies brought about via deep learning, developing systems combining accurate visual perception with the ability to reason over the visua…