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ORCIDHarsh Sharma 0001
Person information
- affiliation: University of California San Diego, USA
Other persons with the same name
- Harsh Sharma — disambiguation page
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2020 – today
- 2026
[j3]Harsh Sharma
, Juan Diego Draxl Giannoni, Boris Kramer:
Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations. Adv. Comput. Math. 52(2): 21 (2026)- 2025
- [d1]Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley:
Eel-inspired Soft Robot Dynamic Structural Simulation Dataset. IEEE DataPort, 2025
- [i12]Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer:
Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy. CoRR abs/2503.02273 (2025) - [i11]Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer:
Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations. CoRR abs/2507.00301 (2025) - [i10]Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley:
Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction. CoRR abs/2511.03931 (2025) - 2024
- [i9]Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky:
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling. CoRR abs/2401.12476 (2024) - [i8]Harsh Sharma, David A. Najera-Flores, Michael D. Todd, Boris Kramer:
Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems. CoRR abs/2404.05040 (2024) - [i7]Harsh Sharma, Iman Adibnazari, Jacobo Cervera-Torralba, Michael Thomas Tolley, Boris Kramer:
Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference. CoRR abs/2407.08840 (2024) - 2023
- [i6]Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer:
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. CoRR abs/2305.15490 (2023) - 2022
- [j2]Harsh Sharma, Jeff Borggaard, Mayuresh Patil, Craig A. Woolsey:
Performance assessment of energy-preserving, adaptive time-step variational integrators. Commun. Nonlinear Sci. Numer. Simul. 114: 106646 (2022) - [c4]Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer:
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CDC 2022: 6742-6749 - [i5]Harsh Sharma, Mayuresh Patil, Craig A. Woolsey:
Hermite-based, One-step, Variational and Galerkin Time Integrators for Mechanical Systems. CoRR abs/2201.07327 (2022) - [i4]Harsh Sharma, Boris Kramer:
Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale mechanical systems. CoRR abs/2203.06361 (2022) - [i3]Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer:
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CoRR abs/2209.07646 (2022) - 2021
- [i2]Harsh Sharma, Zhu Wang, Boris Kramer:
Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems. CoRR abs/2107.12996 (2021) - [i1]Harsh Sharma, Jeff Borggaard, Mayuresh Patil, Craig A. Woolsey:
Performance Assessment of Energy-preserving, Adaptive Time-Step Variational Integrators. CoRR abs/2108.05420 (2021) - 2020
- [c3]Harsh Sharma, Taeyoung Lee, Mayuresh Patil, Craig A. Woolsey:
Symplectic Accelerated Optimization on SO(3) with Lie Group Variational Integrators. ACC 2020: 2826-2831
2010 – 2019
- 2019
- [c2]Harsh Sharma, Taeyoung Lee:
Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for the Attitude Dynamics of a Rigid Body. ACC 2019: 5487-5492 - [c1]Harsh Sharma, Mayuresh Patil, Craig A. Woolsey:
Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for Rigid Body Motion in SE(3). CDC 2019: 8079-8084 - 2018
- [j1]Harsh Sharma, Mayuresh Patil, Craig A. Woolsey:
Energy-preserving variational integrators for forced Lagrangian systems. Commun. Nonlinear Sci. Numer. Simul. 64: 159-177 (2018)
Coauthor Index
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