Deepika Vemuri
I am a PhD student from the AI department at IIT Hyderabad. I am part of the Machine Learning and Vision Group supervised by Dr. Vineeth N Balasubramanian where, broadly, I explore how concept-based learning can help models learn tasks better with a focus, also, on the interpretability of these models. 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.
News
| Nov 2025 | Paper on “LogicCBMs: Using Logic to Enhance Concept-Based Learning” accepted at WACV 2026! |
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| Nov 2025 | Selected to participate in the AAAI 2026 Doctoral Consortium! |
| Aug 2025 | Selected for the Vector Internship! Will be hosted at UBC in Feb 2026. |
| Mar 2025 | Invited to the PMRF Annual Symposium at IIT Hyderabad. |
| Dec 2024 | Paper on “Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models” accepted at AAAI 2025! |
| Feb 2024 | Presented our work on “Advancing Ante Hoc Explainable Models through Generative Adversarial Networks” at the Deployable AI and HCLR workshops at AAAI 2024, Vancouver, Canada. |
| Dec 2022 | Received the Prime Minister’s Research Fellowship! |
Selected Publications
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Formal Concept-Based Models2026Under Review at an A* conference -
LogicCBMs: Using Logic to Enhance Concept-Based Learning2026Winter Conference on Applications of Computer Vision (WACV) -
Learning Hierarchically Using Formal ConceptsIn Visual Concepts Workshop, CVPR, 2025 -
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable ModelsIn AAAI, 2025 -
Enhancing Concept-based Learning with LogicIn Differentiability and AI Safety Workshops at ICML, 2024 -
Advancing Ante Hoc Explainable Models through Generative Adversarial NetworksIn Deployable AI Workshop, HCLR Workshop, AAAI, 2024 -
CANTO: An Actor Model-based Distributed Fog Framework Supporting Neural Networks Training in IoT ApplicationsJournal of Computer Communications, 2023