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researcher

J. Lottes

4 papers hereh-index 9538 citations18 works total

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

author position
  • sole author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC1
  • cs.LG1
  • cs.MS1
  • math.NA1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedNeural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.MS2025

General Field Evaluation in High-Order Meshes on GPUs

Ketan Mittal, Aditya Parik, Som Dutta +3

Robust and scalable function evaluation at any arbitrary point in the finite/spectral element mesh is required for querying the partial differential equation solution at points of…

cs.LG2023★ 2 cited

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations

Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez +5

We introduce a data-driven learning framework that assimilates two powerful ideas: ideal large eddy simulation (LES) from turbulence closure modeling and neural stochastic differen…

math.NA2022★ 1 cited

Optimal polynomial smoothers for multigrid V-cycles

James Lottes

The idea of using polynomial methods to improve simple smoother iterations within a multigrid method for a symmetric positive definite (SPD) system is revisited. When the single-st…

cs.DC2020

Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow

Francois Belletti, Davis King, James Lottes +2

In a recent paper, we have demonstrated how the affinity between TPUs and multi-dimensional financial simulation resulted in fast Monte Carlo simulations that could be setup in a f…

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