Harish Guruprasad Home Page
Assistant Professor
Email : hariguru [at] cse [dot] iitm [dot] ac [dot] in   |   Phone : (+91)-44-2257-4385
Lab(s) : IIL Lab, MALT.
Link to Personal Homepage

Research Interests :

Machine Learning, Learning Theory and Optimisation.

Publications : (Last Five, while at IITM)DBLP | View All

  • On the Learning Dynamics of Attention Networks. 
    Authors : Rahul Vashisht, Harish Guruprasad
    Appeared 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 Guruprasad
    Appeared 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 Guruprasad
    Appeared 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 Guruprasad
    Appeared 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
  • On Knowledge distillation from complex networks for response prediction. 
    Authors : Siddhartha Arora, Mitesh Khapra, Harish Guruprasad
    Appeared in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), pp.3813-3822, Jun 2019

(Recent) Teaching : View All  |  Back to top

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)
Aug 2020 - Dec 2020 : - Pattern Recognition and Machine Learning (CS5691)
Jan 2020 - May 2020 : - Pattern Recognition and Machine Learning (CS5691)

(Current) Advisees View All  |  Back to top

ProgramNameRoll No.Joining DateFunding
PhDRahul VashishtCS18D006Jul 2018HTRA
PhDPrakhar Krishna KumarCS19D002Jul 2019HTRA
MSLakshmi Narayan PandeyCS18S040Jan 2019HTRA
MSDepen MorwaniCS19S002Jul 2019HTRA
MSYadav Mahesh LorikCS20S010Sep 2020
MSPrithaj BanerjeeCS21S045Aug 2021HTRA

Awards and Recognitions :View All  |  Back to top