Deepanshu Verma

According to our database1, Deepanshu Verma authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
A deep neural network approach for parameterized PDEs and Bayesian inverse problems.
Mach. Learn. Sci. Technol., September, 2023

Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics.
CoRR, 2023

Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference.
CoRR, 2023

2021
Fractional deep neural network via constrained optimization.
Mach. Learn. Sci. Technol., 2021

Optimal Control, Numerics, and Applications of Fractional PDEs.
CoRR, 2021

Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints.
CoRR, 2021

Novel Deep neural networks for solving Bayesian statistical inverse.
CoRR, 2021

Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2020
Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the Dual of Fractional-Order Sobolev Spaces.
J. Optim. Theory Appl., 2020

Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case.
CoRR, 2020

2019
Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints.
CoRR, 2019


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