Siddharth Rout

According to our database, Siddharth Rout authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE.

Kevin Kurian Thomas Vaidyan, Siddharth Rout

CoRR, May, 2026

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers.

Eshed Gal, Moshe Eliasof, Siddharth Rout, Eldad Haber

CoRR, March, 2026

Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting.

Carlos A. Pereira, Stéphane Gaudreault, Valentin Dallerit, Christopher Subich, Shoyon Panday, Siqi Wei, Sasa Zhang, Siddharth Rout, Eldad Haber, Raymond J. Spiteri, David Millard, Emilia Diaconescu

CoRR, January, 2026

2025

Fast, Convex and Conditioned Network for Multi-Fidelity Vectors and Stiff Univariate Differential Equations.

Siddharth Rout

CoRR, August, 2025

Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data.

Siddharth Rout, Eldad Haber, Stéphane Gaudreault

CoRR, August, 2025

Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data.

Siddharth Rout, Eldad Haber, Stéphane Gaudreault

CoRR, March, 2025

2024

Advection Augmented Convolutional Neural Networks.

Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

PINN for Dynamical Partial Differential Equations is Not Training Deeper Networks Rather Learning Advection and Time Variance.

Siddharth Rout

CoRR, 2023

2022

Airfoil Shape Optimization using Deep Q-Network.

Siddharth Rout, Chao-An Lin

CoRR, 2022

2021

Numerical Approximation in CFD Problems Using Physics Informed Machine Learning.

Siddharth Rout, Vikas Dwivedi, Balaji Srinivasan

CoRR, 2021