Harsh Sharma

According to our database, Harsh Sharma authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations.

Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer

Adv. Comput. Math., April, 2026

2025

Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction.

Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley

CoRR, November, 2025

Eel-inspired Soft Robot Dynamic Structural Simulation Dataset.

Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley

Dataset, November, 2025

Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy.

Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer

CoRR, March, 2025

2024

Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference.

Harsh Sharma, Iman Adibnazari, Jacobo Cervera-Torralba, Michael Thomas Tolley, Boris Kramer

CoRR, 2024

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems.

Harsh Sharma, David A. Najera-Flores, Michael D. Todd, Boris Kramer

CoRR, 2024

Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling.

Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky

CoRR, 2024

2023

Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds.

Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer

CoRR, 2023

2022

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale mechanical systems.

Harsh Sharma, Boris Kramer

CoRR, 2022

Hermite-based, One-step, Variational and Galerkin Time Integrators for Mechanical Systems.

Harsh Sharma, Mayuresh Patil, Craig A. Woolsey

CoRR, 2022

Performance assessment of energy-preserving, adaptive time-step variational integrators.

Harsh Sharma, Jeff Borggaard, Mayuresh Patil, Craig A. Woolsey

Commun. Nonlinear Sci. Numer. Simul., 2022

Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models.

Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems.

Harsh Sharma, Zhu Wang, Boris Kramer

CoRR, 2021

2020

Symplectic Accelerated Optimization on SO(3) with Lie Group Variational Integrators.

Harsh Sharma, Taeyoung Lee, Mayuresh Patil, Craig A. Woolsey

Proceedings of the 2020 American Control Conference, 2020

2019

Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for Rigid Body Motion in SE(3).

Harsh Sharma, Mayuresh Patil, Craig A. Woolsey

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for the Attitude Dynamics of a Rigid Body.

Harsh Sharma, Taeyoung Lee

Proceedings of the 2019 American Control Conference, 2019

2018

Energy-preserving variational integrators for forced Lagrangian systems.

Harsh Sharma, Mayuresh Patil, Craig A. Woolsey

Commun. Nonlinear Sci. Numer. Simul., 2018