106 citations · 310 across the 82 of their papers we have counts for
12 papers · 1 filter
The Rendezvous Between Extreme Value Theory and Next-generation Networks
Srinivas Sagar, Athira Subhash, Chen-Feng Liu +6
Promising technologies such as massive multiple-input and multiple-output, reconfigurable intelligent reflecting surfaces, non-terrestrial networks, millimetre wave communication,…
Online waveform selection for cognitive radar
Thulasi Tholeti, Avinash Rangarajan, Sheetal Kalyani
Designing a cognitive radar system capable of adapting its parameters is challenging, particularly when tasked with tracking a ballistic missile throughout its entire flight. In th…
Textless NLP -- Zero Resource Challenge with Low Resource Compute
Krithiga Ramadass, Abrit Pal Singh, Srihari J +1
This work addresses the persistent challenges of substantial training time and GPU resource requirements even when training lightweight encoder-vocoder models for Textless NLP. We…
Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
Deepsayan Sadhukhan, Nitin Priyadarshini Shankar, Sheetal Kalyani
We propose a minimal power white box adversarial attack for Deep Learning based Automatic Modulation Classification (AMC). The proposed attack uses the Golden Ratio Search (GRS) me…
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits
Padma Priyanka, Sheetal Kalyani, Avhishek Chatterjee
Learning rate is a crucial parameter in training of neural networks. A properly tuned learning rate leads to faster training and higher test accuracy. In this paper, we propose a L…
Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RIS
Dahlia Devapriya, Aparna V C, Sheetal Kalyani
In reconfigurable intelligent surface (RIS) aided systems, the joint optimization of the precoder matrix at the base station and the phase shifts of the RIS elements involves signi…
Tuning-Free Online Robust Principal Component Analysis through Implicit Regularization
Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal Kalyani
The performance of the standard Online Robust Principal Component Analysis (OR-PCA) technique depends on the optimum tuning of the explicit regularizers and this tuning is dataset…
Source Enumeration using the Distribution of Angles: A Robust and Parameter-Free Approach
Gokularam Muthukrishnan, Siva Shanmugam, Sheetal Kalyani
Source enumeration, the task of estimating the number of sources from the signal received by the array of antennas, is a critical problem in array signal processing. Numerous metho…
First line of defense: A robust first layer mitigates adversarial attacks
Janani Suresh, Nancy Nayak, Sheetal Kalyani
Adversarial training (AT) incurs significant computational overhead, leading to growing interest in designing inherently robust architectures. We demonstrate that a carefully desig…
Product and Ratio of Two Shadowed Random Variables and its Application to Wireless Communication
Shashank Shekhar, Sheetal Kalyani
This work studies the product and ratio statistics of independent and non-identically distributed (i.n.i.d) shadowed random variables. We derive the series expression for…
Randomness Helps Rigor: A Probabilistic Learning Rate Scheduler Bridging Theory and Deep Learning Practice
Dahlia Devapriya, Thulasi Tholeti, Janani Suresh +1
Learning rate schedulers have shown great success in speeding up the convergence of learning algorithms in practice. However, their convergence to a minimum has not been proven the…
DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Efficient Resource Utilization
Ashok S. Kumar, Nancy Nayak, Sheetal Kalyani +2
Efficient resource utilization is proposed for simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) to ensure fair and high data rates. We opti…