Resume
Academic Achievements
- Publications:
- - Graph Classification with GNNs: Optimisation, Representation & Inductive Bias (ECAI 2024)
- - On the Learning Dynamics of Attention Networks (ECAI 2023)
- - On the Interpretability of Attention Networks (ACML 2022)
- - Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets (ICALT 2022)
- - Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization (WACV 2020)
- Teaching Experience:
- - Linear Algebra and Random Processes (CS6015)
- - Advances in Theory of Deep Learning (CS7020)
- - Introduction to Programming (CS1100)
- Advising Students:
- - PhD: Rahul Vashisht, Prakhar Krishna Kumar
- - MS: Lakshmi Narayan Pandey, Depen Morwani, Yadav Mahesh Lorik, Prithaj Banerjee
Research Experience
- Current Position: Assistant Professor, Department of Computer Science & Engineering, Indian Institute of Technology Madras
- Labs: IIL Lab, MALT
Background
- Research Interests: Machine Learning, Learning Theory and Optimisation.