Suryanarayana Maddu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Partial Differential Equations

Top Venues

J. Comput. Phys.

Mach. Learn. Sci. Technol.

IEEE Trans. Image Process.

Publications

Suryanarayana Maddu, Scott Weady, Michael J. Shelley
Learning fast, accurate, and stable closures of a kinetic theory of an active fluid. J. Comput. Phys. 504 (2024)
Sarah Perez, Suryanarayana Maddu, Ivo F. Sbalzarini, Philippe Poncet
Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems. J. Comput. Phys. 491 (2023)
Dominik Sturm, Suryanarayana Maddu, Ivo F. Sbalzarini
Learning locally dominant force balances in active particle systems. CoRR (2023)
Victor Chardès, Suryanarayana Maddu, Michael J. Shelley
Stochastic force inference via density estimation. CoRR (2023)
Suryanarayana Maddu, Quentin Vagne, Ivo F. Sbalzarini
Learning deterministic hydrodynamic equations from stochastic active particle dynamics. CoRR (2022)
Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
Inverse Dirichlet weighting enables reliable training of physics informed neural networks. Mach. Learn. Sci. Technol. 3 (1) (2022)
Joel Jonsson, Bevan L. Cheeseman, Suryanarayana Maddu, Krzysztof Gonciarz, Ivo F. Sbalzarini
Parallel Discrete Convolutions on Adaptive Particle Representations of Images. IEEE Trans. Image Process. 31 (2022)
Joel Jonsson, Bevan L. Cheeseman, Suryanarayana Maddu, Krzysztof Gonciarz, Ivo F. Sbalzarini
Parallel Discrete Convolutions on Adaptive Particle Representations of Images. CoRR (2021)
Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks. CoRR (2021)
Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations. CoRR (2021)
Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
Learning physically consistent mathematical models from data using group sparsity. CoRR (2020)
Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, Christian L. Müller
Stability selection enables robust learning of partial differential equations from limited noisy data. CoRR (2019)