Srinivasa Pranav

According to our database, Srinivasa Pranav authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

GradNetOT: Learning Optimal Transport Maps with GradNets.

Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura

CoRR, July, 2025

Gradient Networks.

Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura

IEEE Trans. Signal Process., 2025

Peer-to-Peer Learning Dynamics of Wide Neural Networks.

Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FedBaF: Federated Learning Aggregation Biased by a Foundation Model.

Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Peer-to-Peer Deep Learning for Beyond-5G IoT.

Srinivasa Pranav, José M. F. Moura

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Learning Gradients of Convex Functions with Monotone Gradient Networks.

Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura

Proceedings of the IEEE International Conference on Acoustics, 2023

Peer-to-Peer Learning+Consensus with Non-IID Data.

Srinivasa Pranav, José M. F. Moura

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023