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Manav Garg
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2020 – today
- 2024
- [j2]Pranshav Gajjar, Manav Garg, Shivani Desai, Hitesh Chhinkaniwala, Harshal A. Sanghvi, Riki H. Patel, Shailesh Gupta, Abhijit S. Pandya:
An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI. IEEE Access 12: 131231-131243 (2024) - 2023
- [j1]Manav Garg, Pranshav Gajjar, Pooja Shah, Madhu Shukla, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation. Inf. 14(10): 527 (2023) - [i1]Esteban Real, Yao Chen, Mirko Rossini, Connal de Souza, Manav Garg, Akhil Verghese, Moritz Firsching, Quoc V. Le, Ekin Dogus Cubuk, David H. Park:
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions. CoRR abs/2312.08472 (2023)
2010 – 2019
- 2016
- [c5]Diptikalyan Saha, Pankaj Dhoolia, Manav Garg, V. Vaibhav:
Delta Refactoring for Merge Conflict Avoidance. ISEC 2016: 26-36 - 2010
- [c4]Manav Garg, Mahesh K. Varanasi:
Diversity-multiplexing-tradeoff-optimal 2-user scheduling in an M-user Gaussian multiple-access channel. ISIT 2010: 2198-2202
2000 – 2009
- 2009
- [c3]Manav Garg, Mahesh K. Varanasi:
On the diversity-multiplexing tradeoff of the Gaussian MIMO brcadcast Channel. CISS 2009: 98-102 - 2008
- [c2]Manav Garg, Mahesh K. Varanasi:
The optimality of D-BLAST-ZF with antenna order feedback without or with antenna selection. CISS 2008: 1120-1124 - [c1]Manav Garg, Mahesh K. Varanasi:
The parallel channel with ordered gains: A high snr analysis. ISIT 2008: 2568-2572
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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