Ashish Kulkarni

Ashish Kulkarni

SDE at Nasdaq, Bachelor's degree in CS from PES University

Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

Diffusion Inference with Dynamic Classifier-free Guidance

Published in International Conference on Inventive Computing and Informatics, 2024

This research work proposes varying the CFG scale values across the inference steps by making use of various scheduling functions, which not only results in better images but also unlocks the full potential of the rich latent space representation of diffusion models by allowing for the sampling of various different images from the same initial conditions by only varying the CFG scale and keeping all other parameters constant.

Recommended citation: V. S., A., Kulkarni, A., Chawla, D., Rawther, A., & Rangareddy, J. (2024). Diffusion Inference with Dynamic Classifier-free Guidance. In International Conference on Inventive Computing and Informatics (2nd ed., pp. 53–59). IEEE. https://doi.org/10.1109/icici62254.2024.00018
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Preprints

A Comparative Study on Deep Convolutional Neural Networks and Histogram Equalization Techniques for Glaucoma Detection From Fundus Images

Published in medRxiv, 2024

This research aims to evaluate the performance of eight different convolutional neural network (CNN) models and histogram equalization techniques for glaucoma detection from fundus images. The study utilized the {ACRIMA} database, comprising 705 fundus images (396 glaucomatous and 309 normal), and data augmentation methods were employed.

Recommended citation: Kulkarni, A., & Ahmed, S. H. (2024). A Comparative Study on Deep Convolutional Neural Networks and Histogram Equalization Techniques for Glaucoma Detection From Fundus Images. Cold Spring Harbor Laboratory. medRxiv. https://doi.org/10.1101/2024.10.25.24316109
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