Sharan Yalburgi

Visiting Student at MIT's Probabilistic Computing Project.

A final year undergraduate student at BITS Pilani studying Mathematics and Computer Science.

Building JuliaGaussianProcesses under the supervision of Dr Hong Ge, University of Cambridge. This work is devoted to building complete Gaussian Processes framework in Julia ecosystem.

Undergraduate supervision by Prof Ashwin Srinivasan and Tirtharaj Dash.

Spent a summer at Inria working under the guidance of Prof Julyan Arbel.

Email  /  CV  /  Google Scholar  /  GitHub  /  Notes

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Research

Interested in Probabilistic Programming Languages, Bayesian and Causal Modelling. I aim to contribute in building efficient modelling and inference methods and practices.

Publications

An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression
Sharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan.
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020


Bijectors.jl: Flexible transformations of distributions
Tor Erlend Fjelde, Kai Xu, Mohamed Tarek, Sharan Yalburgi, Hong Ge,
2nd Symposium on Advances in Approximate Bayesian Inference 2019 co-located with NeurIPS, 2019
GitHub | PDF


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