Deepanshu Verma

Orcid: 0000-0001-9125-2200

According to our database1, Deepanshu Verma authored at least 13 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
A Neural Network Approach for Stochastic Optimal Control.
SIAM J. Sci. Comput., 2024

Emerging Technologies in Global South Classrooms: Teachers Imagining Future of Education.
Proceedings of the Participatory Design Conference 2024, 2024

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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