I am an incoming Ph.D. Student at the Silverman Lab in College of Information Sciences and Technology at Pennsylvania State University, advised by Dr. Justin Silverman. I am interested in building robust and explainable deep learning models using bayesian non-parameteric and semi-parameterics.
Previously, I was a software engineer at Tummee.com from 2021-22 and as a Machine Learning Engineer at Trinity College Dublin under Dr. Ciaran Simms, Dr. Aljosa Smolic and Dr. Richard Blythman.
Prior to pursuing my Ph.D., I earned my master’s in Informatics (Data Science) at Pennsylvania State University and bachelor’s in software engineering from Delhi Technological University (erstwhile Delhi College of Engineering) in India.
My CV can be found here.
Talks
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Model (Oct 2024)
Bioinformatics Method Developers Community Day, Center for Computational Biology and Bioinformatics, Pennsylvania State University
Teaching
- Applied Data Sciences (DS340W)
- Legal and Regulatory Environment of Information Science and Technology (IST432)
Publications and Preprints
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
Manan Saxena, Tinghua Chen, Justin D Silverman
[ArXiv, Fenrir code, Paper Code]
Assessment of deep learning pose estimates for sports collision tracking
Richard Blythman, Manan Saxena, Gregory J Tierney, Chris Richter, Aljosa Smolic, Ciaran Simms
Journal of sports sciences
[Paper]
Classifying Medical Histology Images Using Computationally Efficient CNNs Through Distilling Knowledge
Aakash Garg*, Karan Aggarwal*, Manan Saxena*, Aruna Bhat
Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems
[Paper]
Skeleton-based view invariant deep features for human activity recognition
Chhavi Dhiman, Manan Saxena, Dinesh Kumar Vishwakarma
2019 IEEE fifth international conference on multimedia big data (BigMM)
[Paper]