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Assessing Neural Network Representations During Training Using
  Noise-Resilient Diffusion Spectral Entropy

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

4 December 2023
Danqi Liao
Chen Liu
Benjamin W. Christensen
Alexander Tong
Guillaume Huguet
Guy Wolf
Maximilian Nickel
Ian M. Adelstein
Smita Krishnaswamy
    DiffM
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Papers citing "Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy"

3 / 3 papers shown
Title
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
46
3
0
16 Oct 2024
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images
Chen Liu
Danqi Liao
Alejandro Parada-Mayorga
Alejandro Ribeiro
Marcello DiStasio
Smita Krishnaswamy
45
4
0
04 Oct 2024
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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