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2020 – today
- 2024
[j4]Xingjian Li, Deepanshu Verma, Lars Ruthotto
:
A Neural Network Approach for Stochastic Optimal Control. SIAM J. Sci. Comput. 46(5): 535- (2024)- [c2]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 (1) 2024: 234-247 - 2023
- [j3]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): 35015 (2023) - [i10]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 abs/2310.16975 (2023) - [i9]Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong:
Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics. CoRR abs/2311.07563 (2023) - 2021
- [j2]Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma:
Fractional deep neural network via constrained optimization. Mach. Learn. Sci. Technol. 2(1): 15003 (2021) - [c1]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: 23-39 - [i8]Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma:
Novel Deep neural networks for solving Bayesian statistical inverse. CoRR abs/2102.03974 (2021) - [i7]Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma:
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. CoRR abs/2104.01914 (2021) - [i6]Harbir Antil, Rafael Arndt, Carlos N. Rautenberg, Deepanshu Verma:
Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints. CoRR abs/2106.12680 (2021) - [i5]Harbir Antil, Thomas S. Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, Mahamadi Warma:
Optimal Control, Numerics, and Applications of Fractional PDEs. CoRR abs/2106.13289 (2021) - 2020
- [j1]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): 1-23 (2020) - [i4]Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma:
Fractional Deep Neural Network via Constrained Optimization. CoRR abs/2004.00719 (2020) - [i3]Harbir Antil, Thomas S. Brown, Deepanshu Verma, Mahamadi Warma:
Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case. CoRR abs/2004.09595 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1906.00032 (2019) - [i1]Harbir Antil, Thomas S. Brown, Deepanshu Verma:
Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints. CoRR abs/1912.05033 (2019)
Coauthor Index
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