Shyam Venkatasubramanian

According to our database, Shyam Venkatasubramanian authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Steinmetz Neural Networks for Complex-Valued Data.

Shyam Venkatasubramanian, Ali Pezeshki, Vahid Tarokh

CoRR, 2024

RASPNet: A Benchmark Dataset for Radar Adaptive Signal Processing Applications.

Shyam Venkatasubramanian, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

CoRR, 2024

Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramér-Rao Bound.

Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

CoRR, 2024

2023

Random Linear Projections Loss for Hyperplane-Based Optimization in Regression Neural Networks.

Shyam Venkatasubramanian, Ahmed Aloui, Vahid Tarokh

CoRR, 2023

Subspace Perturbation Analysis for Data-Driven Radar Target Localization.

Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

CoRR, 2023

2022

Toward Data-Driven Radar STAP.

Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

CoRR, 2022

Toward Data-Driven STAP Radar.

Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

CoRR, 2022

2021

GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories.

Siyi Yang, Ahmed H. Hareedy, Shyam Venkatasubramanian, A. Robert Calderbank, Lara Dolecek

Proceedings of the IEEE International Symposium on Information Theory, 2021