| Deep reinforcement learning based blind mmwave MIMO beam alignment V Raj, N Nayak, S Kalyani arXiv preprint arXiv:2001.09251v2, 2021 | 23 | 2021 |
| Realizing neural decoder at the edge with ensembled BNN D Vikas, N Nayak, S Kalyani IEEE Communications Letters 25 (10), 3315-3319, 2021 | 6 | 2021 |
| Understanding learning dynamics of binary neural networks via information bottleneck V Raj, N Nayak, S Kalyani arXiv preprint arXiv:2006.07522, 2020 | 3 | 2020 |
| Leveraging online learning for CSS in frugal IoT network N Nayak, V Raj, S Kalyani IEEE Transactions on Cognitive Communications and Networking 6 (4), 1350-1364, 2020 | 3 | 2020 |
| Green detnet: Computation and memory efficient detnet using smart compression and training N Nayak, T Tholeti, M Srinivasan, S Kalyani arXiv preprint arXiv:2003.09446, 2020 | 2 | 2020 |
| A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization N Nayak, S Kalyani, HA Suraweera arXiv preprint arXiv:2212.13854, 2022 | 1 | 2022 |
| Binarized resnet: Enabling automatic modulation classification at the resource-constrained edge NP Shankar, D Sadhukhan, N Nayak, S Kalyani arXiv preprint arXiv:2110.14357, 2021 | 1 | 2021 |
| NeurIPS 2019 Reproducibility Challenge/ A comprehensive study on binary optimizer and its applicability N Nayak, V Raj, S Kalyani ReScience C 6 (Issue 2), 2020 | 1* | 2020 |
| Binarized ResNet: Enabling Robust Automatic Modulation Classification at the Resource-Constrained Edge NP Shankar, D Sadhukhan, N Nayak, T Tholeti, S Kalyani IEEE Transactions on Cognitive Communications and Networking, 2024 | | 2024 |
| Rotate the ReLU to implicitly sparsify deep networks N Nayak, S Kalyani arXiv preprint arXiv:2206.00488, 2022 | | 2022 |
| Binarized ResNet: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge D Sadhukhan, NP Shankar, N Nayak, T Tholeti, S Kalyani arXiv preprint arXiv:2110.14357, 2021 | | 2021 |
| BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation A Sharma, N Nayak, S Kalyani arXiv preprint arXiv:2110.07992, 2021 | | 2021 |
| What is the optimal depth for deep-unfolding architectures at deployment? N Nayak, T Tholeti, M Srinivasan, S Kalyani arXiv preprint arXiv:2003.09446, 2020 | | 2020 |
Sheetal KalyaniProfessor, Electrical Engineering, IIT MadrasDirección de correo verificada de ee.iitm.ac.in
