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David J. Lange

4 papers hereh-index 339 citations7 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.MS2
  • math.NA1
  • physics.ins-det1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedGPU Accelerated Automatic Differentiation With Clad

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

collaborators

4 papers

physics.ins-det2026

Exploring the Boundaries of Differentiable Radiation Transport and Detector Simulation

Jeffrey Krupa, Yiyang Zhao, Mihaly Novak +9

We present an application of automatic differentiation for particle transport through matter using a Geant4-like radiation transport simulation with a full electromagnetic physics…

math.NA2023

Fast And Automatic Floating Point Error Analysis With CHEF-FP

Garima Singh, Baidyanath Kundu, Harshitha Menon +3

As we reach the limit of Moore's Law, researchers are exploring different paradigms to achieve unprecedented performance. Approximate Computing (AC), which relies on the ability of…

cs.MS2023

Automatic Differentiation of Binned Likelihoods With Roofit and Clad

Garima Singh, Jonas Rembser, Lorenzo Moneta +2

RooFit is a toolkit for statistical modeling and fitting used by most experiments in particle physics. Just as data sets from next-generation experiments grow, processing requireme…

cs.MS2022★ 4 cited

GPU Accelerated Automatic Differentiation With Clad

Ioana Ifrim, Vassil Vassilev, David J Lange

Automatic Differentiation (AD) is instrumental for science and industry. It is a tool to evaluate the derivative of a function specified through a computer program. The range of AD…

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