Pranav Vaidhyanathan

According to our database, Pranav Vaidhyanathan authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Canonical Regularisation of Wide Feature-Learning Neural Networks.

George Whittle, Pranav Vaidhyanathan, Juliusz Ziomek, Natalia Ares, Maike A. Osborne

CoRR, May, 2026

MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence.

Pranav Vaidhyanathan, Aristotelis Papatheodorou, Mark T. Mitchison, Natalia Ares, Ioannis Havoutis

Trans. Mach. Learn. Res., 2026

2025

QuantGraph: A Receding-Horizon Quantum Graph Solver.

Pranav Vaidhyanathan, Aristotelis Papatheodorou, David R. M. Arvidsson-Shukur, Mark T. Mitchison, Natalia Ares, Ioannis Havoutis

CoRR, December, 2025

End-to-End Analysis of Charge Stability Diagrams with Transformers.

Rahul Marchand, Lucas Schorling, Cornelius Carlsson, Jonas Schuff, Barnaby van Straaten, Taylor L. Patti, Federico Fedele, Joshua Ziegler, Parth Girdhar, Pranav Vaidhyanathan, Natalia Ares

CoRR, August, 2025

Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures.

Aristotelis Papatheodorou, Pranav Vaidhyanathan, Natalia Ares, Ioannis Havoutis

CoRR, June, 2025

A Physics-Inspired Optimizer: Velocity Regularized Adam.

Pranav Vaidhyanathan, Lucas Schorling, Natalia Ares, Michael A. Osborne

CoRR, May, 2025

Meta-learning characteristics and dynamics of quantum systems.

Lucas Schorling, Pranav Vaidhyanathan, Jonas Schuff, Miguel J. Carballido, Dominik M. Zumbühl, Gerard Milburn, Florian Marquardt, Jakob N. Foerster, Michael A. Osborne, Natalia Ares

CoRR, March, 2025

2024

Quantum feedback control with a transformer neural network architecture.

Pranav Vaidhyanathan, Florian Marquardt, Mark T. Mitchison, Natalia Ares

CoRR, 2024