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S. Ghimire

25 papers hereh-index 12423 citations47 works total

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

author position
  • first author9
  • middle author16

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • eess.IV7
  • cs.CV5
  • stat.ML1
same name
  • S. Ghimire — 21 papers, h 7
  • S. Ghimire — 19 papers, h 35
  • S. Ghimire — 7 papers, h 27
  • S. Ghimire — 4 papers, h 7
  • S. Ghimire — 1 paper
  • S. Ghimire — 1 paper, h 5

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
20182026
most citedGenerative Modeling and Inverse Imaging of Cardiac Transmembrane Potential

29 citations · 80 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023

Inferring Relational Potentials in Interacting Systems

Armand Comas-Massagué, Yilun Du, Christian Fernandez +4

Systems consisting of interacting agents are prevalent in the world, ranging from dynamical systems in physics to complex biological networks. To build systems which can interact r…

cs.CV2023

Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation

Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire +1

Obtaining labelled data in medical image segmentation is challenging due to the need for pixel-level annotations by experts. Recent works have shown that augmenting the object of i…

cs.LG2023

Geometry of Score Based Generative Models

Sandesh Ghimire, Jinyang Liu, Armand Comas +4

In this work, we look at Score-based generative models (also called diffusion generative models) from a geometric perspective. From a new view point, we prove that both the forward…

cs.CV2023

Divide and Compose with Score Based Generative Models

Sandesh Ghimire, Armand Comas, Davin Hill +3

While score based generative models, or diffusion models, have found success in image synthesis, they are often coupled with text data or image label to be able to manipulate and c…

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