Nancy Nayak

According to our database, Nancy Nayak authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift, and Power Optimization.

Nancy Nayak, Sheetal Kalyani, Himal A. Suraweera

IEEE Trans. Wirel. Commun., October, 2024

Binarized ResNet: Enabling Robust Automatic Modulation Classification at the Resource-Constrained Edge.

Nitin Priyadarshini Shankar, Deepsayan Sadhukhan, Nancy Nayak, Thulasi Tholeti, Sheetal Kalyani

IEEE Trans. Cogn. Commun. Netw., October, 2024

Rotate the ReLU to Sparsify Deep Networks Implicitly.

Nancy Nayak, Sheetal Kalyani

Trans. Mach. Learn. Res., 2024

First line of defense: A robust first layer mitigates adversarial attacks.

Janani Suresh, Nancy Nayak, Sheetal Kalyani

CoRR, 2024

Energy Efficient Fair STAR-RIS for Mobile Users.

Ashok S. Kumar, Nancy Nayak, Sheetal Kalyani, Himal A. Suraweera

CoRR, 2024

2022

Deep Reinforcement Learning Based Blind mmWave MIMO Beam Alignment.

Vishnu Raj, Nancy Nayak, Sheetal Kalyani

IEEE Trans. Wirel. Commun., 2022

Rotate the ReLU to implicitly sparsify deep networks.

Nancy Nayak, Sheetal Kalyani

CoRR, 2022

2021

Realizing Neural Decoder at the Edge With Ensembled BNN.

Devannagari Vikas, Nancy Nayak, Sheetal Kalyani

IEEE Commun. Lett., 2021

Binarized ResNet: Enabling Automatic Modulation Classification at the resource-constrained Edge.

Nitin Priyadarshini Shankar, Deepsayan Sadhukhan, Nancy Nayak, Sheetal Kalyani

CoRR, 2021

BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation.

Akshay Sharma, Nancy Nayak, Sheetal Kalyani

CoRR, 2021

2020

Leveraging Online Learning for CSS in Frugal IoT Network.

Nancy Nayak, Vishnu Raj, Sheetal Kalyani

IEEE Trans. Cogn. Commun. Netw., 2020

Understanding Learning Dynamics of Binary Neural Networks via Information Bottleneck.

Vishnu Raj, Nancy Nayak, Sheetal Kalyani

CoRR, 2020

What is the optimal depth for deep-unfolding architectures at deployment?

Nancy Nayak, Thulasi Tholeti, Muralikrishnan Srinivasan, Sheetal Kalyani

CoRR, 2020