Research perspectives on probabilistic model construction and markov chain monte carlo (mcmc) with bayesian deep learning for biomedical applications
A push towards the most necessitated interdisciplinary approach. Yes! Biomedical Engineering pursuers at SREC and students from other institutions actively participated in the two-day seminar on "Research Perspectives on Probabilistic Model Construction and Markov Chain Monte Carlo (MCMC) with Bayesian Deep Learning for biomedical applications". The Department of Atomic Energy - National Board for Higher Mathematics (DAE - NBHM) were generous enough to fund the organizers, none other than the Department of Biomedical Engineering.
The seminar was launched with an inauguration ceremony in the solemn presence of our beloved Principal, Dr N R Alamelu and chief guest, Dr M Senthilkumar, Professor and Head of Applied Mathematics and Computational Sciences Department, PSG College of Technology).
This forum was a platform which successfully hosted the recent flourish of ideas using Bayesian approaches in Deep Learning and Deep Learning tools using Bayesian modelling while focusing on niche topics like
- Introduction to Bayes' Theorem
- Probabilistic Machine Learning
- Bayesian Convolutional Neural Networks using Variational Inference
- Deep recognition models for Variational Inference
- Bayesian Convolutional Neural Network in PyTorch
- Uncertainty estimation in Bayesian neural networks
Guess where it gets more interesting? The beneficiaries spent decent hours understanding the fundamentals from knowledgeable resource persons. This was highly important to lay their foundations stronger!
Resource persons were way cooler than expected. All of their interactive sessions inculcated the seed of interest in advanced Mathematics (we are going above and beyond the curriculum now!).
By the end of the seminar, we were all set to put this knowledge to use in some way, while a few were motivated towards exploring the glory of mathematics.
And this is yet another initiative of SREC to enrich student minds!
-BAVANIKA, II BME