v a r s h i n i . r e d d y

About Me

I am a Machine Learning enthusiast passionate about creating and deploying products with meaningful real-world impact. This page is a brief introduction of what I like to do and what I've done so far. I'm always open to trying new things out.


PUBLICATIONS

> Mask Conditional Synthetic Satellite Imagery
11th International Conference on Learning Representations, 2023 (Accepted), Pre-print ArXiv, DOI: 10.48550/arXiv.2302.04305
Link


> Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry
International Conference on Machine Learning, 2022
Link


> Malware Detection and Classification using Community Detection and Social Network Analysis
Journal of Computer Virology and Hacking Techniques, DOI: 10.1007/s11416-021-00387-x
Link


> Hybrid Behavioural Features for Churn Prediction in Mobile Telecomm Networks with Data Constraints
Proceedings of the Second International Conference on Security and Privacy, ISEA-ISAP 2018, DOI : 10.1007/978-981-13-7561-3
Link


> Simulation of Lane-switching in Self-Driving Automobiles
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018, DOI : 10.32628/CSEIT184634
Link


> Analysis of Similarity Measures for Collaborative Filtering
Proceedings of the International Symposium on Cloud Computing & Data Analytics 2017
Link


> Comparison of Machine Learning Techniques for Malware Detection and Classification
Journal of Computer Virology and Hacking Techniques (Under Peer Review)


PROJECTS

Following are some of my projects in detail.

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Lane switching in self-driving cars

using CNN

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Churn Prediction

using hyrbid behavioural features

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American Sign Language

using Deep Learning

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Malware Detection & Classification

using social network analytics

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Similarity Measures for Recommender Systems

using user-based Collaborative Filtering

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Fake News Detection

using LSTMs

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Success of Uncertainty-Aware Deep Models Depends

on Data Manifold Geometry

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Predicting Physical Parameters of Black Holes

using Generated Images

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Mask Conditional Synthetic Satellite Imagery

using SPADE GAN

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Scheduling of Neural Network Parameters

focused on batch size

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Interpretation of Model Predicting Memorability

of Images advertisements

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Geographic Topology Extrapolation

using Generative Adversarial Networks

get in touch

EMAIL

varshinibogolu@fas.harvard.edu     ●     varshinibogolu@g.harvard.edu     ●    varshinir310@gmail.com