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Vinay Sharma

8 papers hereh-index 317 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author1

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI1
  • cs.NE1
  • math.DS1
same name
  • Vinay Sharma — 5 papers, h 5
  • Vinay Sharma — 4 papers, h 12
  • Vinay Sharma — 3 papers, h 1
  • Vinay Sharma — 1 paper
  • Vinay Sharma — 1 paper, h 21
  • Vinay Sharma — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedEqui-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

math.DS2025

Locating Extremal Periodic Orbits for the Planar Circular Restricted Three Body Problem using Polynomial Sum-of-Squares Optimization

Vinay Sharma, Sergei I Chernyshenko

With an increasing interest in the design of long and complex space missions, the search for orbits that require the least amount of fuel is of fundamental interest. This paper dev…

cs.LG2025★ 2 cited

Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems

Vinay Sharma, Rémi Tanguy Oddon, Pietro Tesini +3

Accurate real-time modeling of multi-body dynamical systems is essential for enabling digital twin applications across industries. While many data-driven approaches aim to learn sy…

cs.LG2025

Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems

Vinay Sharma, Olga Fink

Accurate, interpretable, and real-time modeling of multi-body dynamical systems is essential for predicting behaviors and inferring physical properties in natural and engineered en…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.