Deepanshu Verma

According to our database, Deepanshu Verma authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection.

Abhijit Chowdhary, Elizabeth Newman, Deepanshu Verma

CoRR, March, 2026

On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians.

Eric Gelphman, Deepanshu Verma, Nicole Tianjiao Yang, Stanley J. Osher, Samy Wu Fung

CoRR, February, 2026

2025

Regularity and error estimates in physics-informed neural networks for the Kuramoto-Sivashinsky equation.

Mohammad Mahabubur Rahman, Deepanshu Verma

CoRR, November, 2025

Randomized Matrix Sketching for Neural Network Training and Gradient Monitoring.

Harbir Antil, Deepanshu Verma

CoRR, October, 2025

End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation.

Eric Gelphman, Deepanshu Verma, Nicole Tianjiao Yang, Stanley J. Osher, Samy Wu Fung

CoRR, October, 2025

Latent Twins.

Matthias Chung, Deepanshu Verma, Max Collins, Amit N. Subrahmanya, Varuni Katti Sastry, Vishwas Rao

CoRR, September, 2025

Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems.

Xingjian Li, Kelvin Kan, Deepanshu Verma, Krishna Kumar, Stanley J. Osher, Ján Drgona

CoRR, September, 2025

Error estimates for viscous Burgers' equation using deep learning method.

Wasim Akram, Sagar Gautam, Deepanshu Verma, Manil T. Mohan

CoRR, February, 2025

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

Zheyu Oliver Wang, Ricardo Baptista, Youssef Marzouk, Lars Ruthotto, Deepanshu Verma

SIAM J. Sci. Comput., 2025

2024

A Neural Network Approach for Stochastic Optimal Control.

Xingjian Li, Deepanshu Verma, Lars Ruthotto

SIAM J. Sci. Comput., 2024

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

Proceedings of the Participatory Design Conference 2024, 2024

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., September, 2023

Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics.

Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong

CoRR, 2023

2021

Fractional deep neural network via constrained optimization.

Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma

Mach. Learn. Sci. Technol., 2021

Optimal Control, Numerics, and Applications of Fractional PDEs.

Harbir Antil, Thomas S. Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, Mahamadi Warma

CoRR, 2021

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

Harbir Antil, Rafael Arndt, Carlos N. Rautenberg, Deepanshu Verma

CoRR, 2021

Novel Deep neural networks for solving Bayesian statistical inverse.

Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma

CoRR, 2021

Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows.

Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma

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.

Harbir Antil, Deepanshu Verma, Mahamadi Warma

J. Optim. Theory Appl., 2020

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

2019

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

Harbir Antil, Thomas S. Brown, Deepanshu Verma

CoRR, 2019