Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints. - Harbir Antil; Thomas S. Brown; Deepanshu Verma (CoRR, 2019)

Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case. - Harbir Antil; Thomas S. Brown; Deepanshu Verma; Mahamadi Warma (CoRR, 2020)

Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the Dual of Fractional-Order Sobolev Spaces. - Harbir Antil; Deepanshu Verma; Mahamadi Warma (J. Optim. Theory Appl., 2020)

Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. - Thomas S. Brown; Harbir Antil; Rainald Löhner; Fumiya Togashi; Deepanshu Verma (ISC Workshops, 2021)

Novel Deep neural networks for solving Bayesian statistical inverse. - Harbir Antil; Howard C. Elman; Akwum Onwunta; Deepanshu Verma (CoRR, 2021)

Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints. - Harbir Antil; Rafael Arndt; Carlos N. Rautenberg; Deepanshu Verma (CoRR, 2021)

Optimal Control, Numerics, and Applications of Fractional PDEs. - Harbir Antil; Thomas S. Brown; Ratna Khatri; Akwum Onwunta; Deepanshu Verma; Mahamadi Warma (CoRR, 2021)

Fractional deep neural network via constrained optimization. - Harbir Antil; Ratna Khatri; Rainald Löhner; Deepanshu Verma (Mach. Learn. Sci. Technol., 2021)

Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. - Zheyu Oliver Wang; Ricardo Baptista; Youssef M. Marzouk; Lars Ruthotto; Deepanshu Verma (CoRR, 2023)

Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics. - Malvern Madondo; Deepanshu Verma; Lars Ruthotto; Nicholas Au Yong (CoRR, 2023)

A deep neural network approach for parameterized PDEs and Bayesian inverse problems. - Harbir Antil; Howard C. Elman; Akwum Onwunta; Deepanshu Verma (Mach. Learn. Sci. Technol., 2023)

Emerging Technologies in Global South Classrooms: Teachers Imagining Future of Education. - Priyanka Sebastian; Sumita Sharma; Netta Iivari; Marianne Kinnula; Charu Monga; Deepanshu Verma; Muhammad Shahroz Abbas (PDC (1), 2024)

A Neural Network Approach for Stochastic Optimal Control. - Xingjian Li 005; Deepanshu Verma; Lars Ruthotto (SIAM J. Sci. Comput., 2024)

Error estimates for viscous Burgers' equation using deep learning method. - Wasim Akram; Sagar Gautam; Deepanshu Verma; Manil T. Mohan (CoRR, 2025)