Research Interests :
Machine Learning, Learning Theory and Optimisation.Publications : (Last Five, while at IITM)DBLP | View All
- Graph Classification with GNNs: Optimisation, Representation & Inductive Bias.
Authors :
P. Krishna Kumar,
Harish GuruprasadAppeared in
ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (PAIS 2024) ,Frontiers in Artificial Intelligence and Applications, Vol 392, No., pp.2082-2089, Oct 2024
- On the Learning Dynamics of Attention Networks.
Authors :
Rahul Vashisht,
Harish GuruprasadAppeared in
ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Krakw, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023) (PAIS 2023) ,Frontiers in Artificial Intelligence and Applications, Vol 372, pp.2394-2401, Oct 2023
- On the Interpretability of Attention Networks.
Authors :
Lakshmi Narayan Pandey,
Rahul Vashisht,
Harish GuruprasadAppeared in
Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. (ACML 2022) ,Proceedings of Machine Learning Research, Vol 189, pp.832-847, Dec 2022
- Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets.
Authors :
Depen Morwani,
Harish GuruprasadAppeared in
International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France., Proceedings of Machine Learning Research, Vol 167, pp.827-880, Apr 2022
- Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization.
Authors :
Saurabh Desai,
Harish GuruprasadAppeared in
IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020 (WACV 2020) ,pp.972-980, Mar 2020
| Jul 2024 - Nov 2024 | : | - Linear Algebra and Random Processes (CS6015) |
| Jul 2023 - Nov 2023 | : | - Linear Algebra and Random Processes (CS6015) |
| Jan 2023 - May 2023 | : | - Advances in Theory of Deep Learning (CS7020) |
| Apr 2022 - May 2022 | : | - Introduction to Programming (CS1100) |
| Feb 2021 - May 2021 | : | - Linear Algebra and Random Processes (CS6015) |
