Deepanshu Verma

25 papers Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection. CoRR Abhijit Chowdhary, Elizabeth Newman, Deepanshu Verma
2026	J	`jnl`	On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians. CoRR Eric Gelphman, Deepanshu Verma, Nicole Tianjiao Yang, Stanley J. Osher, Samy Wu Fung
2025	J	`jnl`	Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. SIAM J. Sci. Comput. Zheyu Oliver Wang, Ricardo Baptista, Youssef Marzouk, Lars Ruthotto, Deepanshu Verma
2025	J	`jnl`	End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation. CoRR Eric Gelphman, Deepanshu Verma, Nicole Tianjiao Yang, Stanley J. Osher, Samy Wu Fung
2025	J	`jnl`	Error estimates for viscous Burgers' equation using deep learning method. CoRR Wasim Akram, Sagar Gautam, Deepanshu Verma, Manil T. Mohan
2025	J	`jnl`	Latent Twins. CoRR Matthias Chung, Deepanshu Verma, Max Collins, Amit N. Subrahmanya, Varuni Katti Sastry, Vishwas Rao
2025	J	`jnl`	Randomized Matrix Sketching for Neural Network Training and Gradient Monitoring. CoRR Harbir Antil, Deepanshu Verma
2025	J	`jnl`	Regularity and error estimates in physics-informed neural networks for the Kuramoto-Sivashinsky equation. CoRR Mohammad Mahabubur Rahman, Deepanshu Verma
2025	J	`jnl`	Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems. CoRR Xingjian Li, Kelvin Kan, Deepanshu Verma, Krishna Kumar, Stanley J. Osher, Ján Drgona
2024	J	`jnl`	A Neural Network Approach for Stochastic Optimal Control. SIAM J. Sci. Comput. Xingjian Li, Deepanshu Verma, Lars Ruthotto
2024	—	`conf`	Emerging Technologies in Global South Classrooms: Teachers Imagining Future of Education. PDC (1) Priyanka Sebastian, Sumita Sharma, Netta Iivari, Marianne Kinnula, Charu Monga, Deepanshu Verma, Muhammad Shahroz Abbas
2023	J	`jnl`	A deep neural network approach for parameterized PDEs and Bayesian inverse problems. Mach. Learn. Sci. Technol. Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
2023	J	`jnl`	Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma
2023	J	`jnl`	Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics. CoRR Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong
2021	J	`jnl`	Fractional deep neural network via constrained optimization. Mach. Learn. Sci. Technol. Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
2021	J	`jnl`	Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints. CoRR Harbir Antil, Rafael Arndt, Carlos N. Rautenberg, Deepanshu Verma
2021	—	`conf`	Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. ISC Workshops Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma
2021	J	`jnl`	Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. CoRR Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma
2021	J	`jnl`	Novel Deep neural networks for solving Bayesian statistical inverse. CoRR Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
2021	J	`jnl`	Optimal Control, Numerics, and Applications of Fractional PDEs. CoRR Harbir Antil, Thomas S. Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, Mahamadi Warma
2020	J	`jnl`	Fractional Deep Neural Network via Constrained Optimization. CoRR Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
2020	J	`jnl`	Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case. CoRR Harbir Antil, Thomas S. Brown, Deepanshu Verma, Mahamadi Warma
2020	J	`jnl`	Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the Dual of Fractional-Order Sobolev Spaces. J. Optim. Theory Appl. Harbir Antil, Deepanshu Verma, Mahamadi Warma
2019	J	`jnl`	Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints. CoRR Harbir Antil, Thomas S. Brown, Deepanshu Verma
2019	J	`jnl`	Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the dual of Fractional Order Sobolev Spaces. CoRR Harbir Antil, Deepanshu Verma, Mahamadi Warma