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ORCIDShyam Venkatasubramanian
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2020 – today
- 2024
[i8]Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramér-Rao Bound. CoRR abs/2401.11176 (2024)- [i7]Shyam Venkatasubramanian, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
RASPNet: A Benchmark Dataset for Radar Adaptive Signal Processing Applications. CoRR abs/2406.09638 (2024) - [i6]Shyam Venkatasubramanian, Ali Pezeshki, Vahid Tarokh:
Steinmetz Neural Networks for Complex-Valued Data. CoRR abs/2409.10075 (2024) - 2023
- [i5]Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Subspace Perturbation Analysis for Data-Driven Radar Target Localization. CoRR abs/2303.08241 (2023) - [i4]Shyam Venkatasubramanian, Ahmed Aloui, Vahid Tarokh:
Random Linear Projections Loss for Hyperplane-Based Optimization in Regression Neural Networks. CoRR abs/2311.12356 (2023) - 2022
- [i3]Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Toward Data-Driven STAP Radar. CoRR abs/2201.10712 (2022) - [i2]Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Toward Data-Driven Radar STAP. CoRR abs/2209.02890 (2022) - 2021
- [c1]Siyi Yang, Ahmed H. Hareedy
, Shyam Venkatasubramanian, A. Robert Calderbank, Lara Dolecek:
GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories. ISIT 2021: 587-592 - [i1]Siyi Yang, Ahmed H. Hareedy, Shyam Venkatasubramanian, A. Robert Calderbank, Lara Dolecek:
GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories. CoRR abs/2101.09962 (2021)
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