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pro vyhledávání: '"Ganatra, Vaibhav"'
Autor:
Ganatra, Vaibhav, Goel, Drishti
Deep learning models used for medical image classification tasks are often constrained by the limited amount of training data along with severe class imbalance. Despite these problems, models should be explainable to enable human trust in the models'
Externí odkaz:
http://arxiv.org/abs/2408.05754
Autor:
Ganatra, Vaibhav
Few-shot image classification has recently witnessed the rise of representation learning being utilised for models to adapt to new classes using only a few training examples. Therefore, the properties of the representations, such as their underlying
Externí odkaz:
http://arxiv.org/abs/2309.16337
Autor:
Ganatra, Vaibhav, Banerjee, Soumitro
Saddle fixed points are the centerpieces of complicated dynamics in a system. The one-dimensional stable and unstable manifolds of these saddle-points are crucial to understanding the dynamics of such systems. While the problem of sketching the unsta
Externí odkaz:
http://arxiv.org/abs/2203.08025
Akademický článek
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Publikováno v:
Journal of the American Chemical Society; 8/14/2024, Vol. 146 Issue 32, p22236-22246, 11p
Autor:
Ganatra, Vaibhav, Banerjee, Soumitro
Publikováno v:
International Journal of Bifurcation & Chaos in Applied Sciences & Engineering; 2022, Vol. 32 Issue 8, p1-11, 11p