Harsh Sharma - RankMe

19 papers C 2Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations. Adv. Comput. Math. Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
2025	J	`jnl`	Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction. CoRR Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley
2025	J	`jnl`	Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy. CoRR Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
2025	J	`jnl`	Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations. CoRR Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
2024	J	`jnl`	Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling. CoRR Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky
2024	J	`jnl`	Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference. CoRR Harsh Sharma, Iman Adibnazari, Jacobo Cervera-Torralba, Michael Thomas Tolley, Boris Kramer
2024	J	`jnl`	Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems. CoRR Harsh Sharma, David A. Najera-Flores, Michael D. Todd, Boris Kramer
2023	J	`jnl`	Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. CoRR Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer
2022	—	`conf`	Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CDC Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
2022	J	`jnl`	Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CoRR Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
2022	J	`jnl`	Hermite-based, One-step, Variational and Galerkin Time Integrators for Mechanical Systems. CoRR Harsh Sharma, Mayuresh Patil, Craig A. Woolsey
2022	J	`jnl`	Performance assessment of energy-preserving, adaptive time-step variational integrators. Commun. Nonlinear Sci. Numer. Simul. Harsh Sharma, Jeff Borggaard, Mayuresh Patil, Craig A. Woolsey
2022	J	`jnl`	Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale mechanical systems. CoRR Harsh Sharma, Boris Kramer
2021	J	`jnl`	Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems. CoRR Harsh Sharma, Zhu Wang, Boris Kramer
2021	J	`jnl`	Performance Assessment of Energy-preserving, Adaptive Time-Step Variational Integrators. CoRR Harsh Sharma, Jeff Borggaard, Mayuresh Patil, Craig A. Woolsey
2020	C	`conf`	Symplectic Accelerated Optimization on SO(3) with Lie Group Variational Integrators. ACC Harsh Sharma, Taeyoung Lee, Mayuresh Patil, Craig A. Woolsey
2019	—	`conf`	Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for Rigid Body Motion in SE(3). CDC Harsh Sharma, Mayuresh Patil, Craig A. Woolsey
2019	C	`conf`	Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for the Attitude Dynamics of a Rigid Body. ACC Harsh Sharma, Taeyoung Lee
2018	J	`jnl`	Energy-preserving variational integrators for forced Lagrangian systems. Commun. Nonlinear Sci. Numer. Simul. Harsh Sharma, Mayuresh Patil, Craig A. Woolsey