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ML Foundations

I believe in a bottom-up learning strategy, in which we have strong foundations before diving deep into the Top (Research). However, while in the research, it is also helpful to refresh the foundations for better performance. Thus, the Foundations of any field play a crucial role in deciding the height of our research in that field.

publications

Comparative Study of Deep Learning Models for Segmentation of Corpus Callosum

Shrivastava, S., Singh, N., Mishra, U., Chandra, A., & Verma, S. (2020, March). Comparative study of deep learning models for segmentation of corpus callosum. In 2020 fourth international conference on computing methodologies and communication (ICCMC) (pp. 418-423). IEEE.

Control or Autism - Classification using Convolutional Neural Networks on Functional MRI

Shrivastava, S., Mishra, U., Singh, N., Chandra, A., & Verma, S. (2020, July). Control or autism-classification using convolutional neural networks on functional MRI. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.

Linear Strategic Classification with Endogenous Improvements

Shrivastava, S., Akshintala, M., Reddy, B., Manwani, N., Gujar, S., & Ghalme, G. (2026). Linear Strategic Classification with Endogenous Improvements. arXiv preprint arXiv:2606.01198.

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