Launched New Website!
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Excited to share my new personal website built with Jekyll and Minimal Mistakes!
Posts by Collection
news
Attended ICTS Program on UHDB
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Excited to share that I had recently been to ICTS Bengaluru to attend program on Unifying Theories in High-Dimensional Biology (UHDB). I met many really brilliant and interesting people there. I am thankful to all the organizers for setting up this wonderful program.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides | Download Bibtex
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper | Download Slides
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Download Paper | Download Slides
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
ML4PHY: Physics-Informed Machine Learning
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The talk was aimed at introducing audience to a class of neural network achitecture called PINN. The talk can mainly be divided into three parts. First and foremost, introduction to ML including definition of some standard terms. An idea of bias-variance trade-off was also provided. This takes us to next part of talk, what are PINN exactly, and how does it hep reduce variance (or generalization error). The talk concludes with showing application of this architecture and its close relatives- Hamiltonian Neural Network & Lagrangian Neural Network to show how these techniques can be leveraged to learn dynamics of system from data itself.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.