Deepanshu Verma

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Fractional Order

Optimal Control

Unconstrained Optimization

Top Venues

Mach. Learn. Sci. Technol.

J. Optim. Theory Appl.

Publications

Priyanka Sebastian, Sumita Sharma, Netta Iivari, Marianne Kinnula, Charu Monga, Deepanshu Verma, Muhammad Shahroz Abbas
Emerging Technologies in Global South Classrooms: Teachers Imagining Future of Education. PDC (2024)
Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong
Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics. CoRR (2023)
Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
A deep neural network approach for parameterized PDEs and Bayesian inverse problems. Mach. Learn. Sci. Technol. 4 (3) (2023)
Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR (2023)
Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
Fractional deep neural network via constrained optimization. Mach. Learn. Sci. Technol. 2 (1) (2021)
Harbir Antil, Thomas S. Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, Mahamadi Warma
Optimal Control, Numerics, and Applications of Fractional PDEs. CoRR (2021)
Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. ISC Workshops (2021)
Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
Novel Deep neural networks for solving Bayesian statistical inverse. CoRR (2021)
Harbir Antil, Rafael Arndt, Carlos N. Rautenberg, Deepanshu Verma
Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints. CoRR (2021)
Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. CoRR (2021)
Harbir Antil, Deepanshu Verma, Mahamadi Warma
Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the Dual of Fractional-Order Sobolev Spaces. J. Optim. Theory Appl. 186 (1) (2020)
Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
Fractional Deep Neural Network via Constrained Optimization. CoRR (2020)
Harbir Antil, Thomas S. Brown, Deepanshu Verma, Mahamadi Warma
Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case. CoRR (2020)
Harbir Antil, Thomas S. Brown, Deepanshu Verma
Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints. CoRR (2019)
Harbir Antil, Deepanshu Verma, Mahamadi Warma
Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the dual of Fractional Order Sobolev Spaces. CoRR (2019)