Aritra Bandyopadhyay Lab Bench // Jekyll
Machine Learning Researcher

Aritra Bandyopadhyay

I work across mechanistic interpretability, computer vision, and information retrieval. This Jekyll version is technical and clinical, focusing on clarity and structured information display.

Abstract

The site comparison is practical: keep the same route shape and content inventory while letting each framework show its natural defaults. In Jekyll, that means collection-driven pages, a clean reading layout, and a strong bias toward publication and CV workflows.

Selected Publication

[Evolutionary Computation Theory and Applications (IJCCI / ECTA)] — 2023

Differential Evolution Algorithm Based Hyper-Parameter Selection of Convolutional Neural Networks for Speech Command Recognition

An evolutionary search approach for CNN hyper-parameters in speech command recognition.

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Open Source Libraries

Pandas

Flexible and powerful data analysis and manipulation library for Python.

GitHub Repo

PyTorch

Deep learning framework for research code and production prototypes.

GitHub Repo

Latest Entry

LOG DATE: 2023-10-24

Come back later

A placeholder notebook-style post for future language model notes.

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