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I am Deepika Vemuri, a PhD student from the AI department of IIT Hyderabad. I am part of the Machine Learning and Vision Group supervised by Dr. Vineeth N Balasubramanian where, broadly, I work on models that make use of concepts and logic to enhance the learning process while retaining interpretability. Prior to this, I was an M.Tech student in the University of Hyderabad where I did my thesis under the supervision of Dr. Satish Narayana Srirama on distributed machine learning.
Publications
[2026] LogicCBMs: Using Logic to Enhance Concept-Based Learning, Deepika Vemuri, Gautham Bellamkonda, Aditya Pola, Vineeth N Balasubramanian, Under Review at an A* conference.
[2025] Learning Hierarchically Using Formal Concepts, Deepika Vemuri, Sayanta Adhikari, Ankit Saha, Vineeth N Balasubramanian, Visual Concepts Workshop, CVPR 2025.
[2025] Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models, Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian, AAAI 2025
[2024] Enhancing Concept-based Learning with Logic, Deepika Vemuri, Gautham Bellamkonda, Vineeth N. Balasubramanian, Differentiability and AI Safety Workshops at ICML 2024
[2024] CLAM: Continual Learning with Multimodal Concepts, Susmit Agrawal, Deepika Vemuri, Vineeth N. Balasubramanian, CLVISION CVPR Workshop 2024
[2024] Advancing Ante Hoc Explainable Models through Generative Adversarial Networks, Tanmay Garg, Deepika Vemuri, Vineeth N. Balasubramanian, Deployable AI Workshop, HCLR Workshop, AAAI 2024
[2023] CANTO: An Actor Model-based Distributed Fog Framework Supporting Neural Networks Training in IoT Applications, Satish Narayana Srirama, Deepika Vemuri (primary contributor), Journal of Computer Communications (impact factor: 5.07), Elsevier, Pg 1-9, Vol 199, 2023
Education
M.Tech in AI
Nov 2020 - Jul 2022
School of Computer and Information Sciences, University of Hyderabad
B.Tech in CSE
Aug 2016 - Sept 2020
BVRIT Hyderabad College of Engineering for Women
Work Experience
Software Engineer - Oct 2020 - Jan 2021
Software Intern - Jan 2020 - Sept 2020
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