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J. Budd

4 papers hereh-index 342 citations10 works total

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

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • math.AP2
  • cs.CV1
  • math.NA1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedClassification and image processing with a semi-discrete scheme for fidelity forced Allen--Cahn on graphs

18 citations · 30 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 2 cited

Joint reconstruction-segmentation on graphs

Jeremy Budd, Yves van Gennip, Jonas Latz +2

Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations. A recent approach for solving such tasks is to…

math.NA2020★ 18 cited

Classification and image processing with a semi-discrete scheme for fidelity forced Allen--Cahn on graphs

Jeremy Budd, Yves van Gennip, Jonas Latz

This paper introduces a semi-discrete implicit Euler (SDIE) scheme for the Allen-Cahn equation (ACE) with fidelity forcing on graphs. Bertozzi and Flenner (2012) pioneered the use…

math.AP2020

Mass-conserving diffusion-based dynamics on graphs

Jeremy Budd, Yves van Gennip

An emerging technique in image segmentation, semi-supervised learning, and general classification problems concerns the use of phase-separating flows defined on finite graphs. This…

math.AP2019★ 10 cited

Graph MBO as a semi-discrete implicit Euler scheme for graph Allen-Cahn flow

Jeremy Budd, Yves van Gennip

In recent years there has been an emerging interest in PDE-like flows defined on finite graphs, with applications in clustering and image segmentation. In particular for image segm…

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