Siddhartha Mishra

Full Professor

ETH Zürich

Switzerland

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Professor Siddhartha Mishra is a Full Professor at ETH Zurich, Switzerland. His research areas focus on advanced methodologies in data assimilation, deep learning applications in partial differential equations, and geophysical fluid dynamics. Recent articles highlight his contributions to topics such as Bayesian frameworks for explaining length of day variations and innovative error analysis for physics-informed neural networks.

Articles (7)

Year:

2025

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (3)

Lara Börger

University of Bonn

GERMANY

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Samuel Lanthaler

Universität Wien

AUSTRIA

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Deep Ray

Assistant Professor

UNITED STATES

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Siddhartha Mishra

Research Interests

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Articles (7)

Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids

Revisiting the Excitation of Free Core Nutation

Length of Day Variations Explained in a Bayesian Framework

Error analysis for physics-informed neural networks (PINNs) approximating Kolmogorov PDEs

On Bayesian data assimilation for PDEs with ill-posed forward problems

Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

On the conservation of energy in two-dimensional incompressible flows

Collaborators (3)

Lara Börger

Samuel Lanthaler

Deep Ray

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