I am a third year PhD student in Computing and Information Science at Rochester Institute of Technology (RIT), working with Prof. Rui Li in the Lab of Use-Inspired Computational Intelligence (LUCI). Before starting my PhD, I completed my undergraduate in Electronics and Communication Engineering at Pulchowk Campus, IOE, Nepal.

Research

My research focuses on developing Bayesian framework that allows deep learning models to dynamically adapt their structures in light of data. Currently, I am engaged in developing model selection frameworks for different learning scenarios like supervised/unsupervised learning, graph learning, and federated learning.

Interests: Statistical Machine Learning, Deep Learning, Bayesian Methods, Deep Generative Models, Deep Graph Learning


News

Dec, 2023 Presented our poster on "AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders" at NeurIPS 2023 in New Orleans, LA.
Sep, 2023 Our paper titled "AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders" is accepted as a full conference paper at NeurIPS 2023 - Paribesh Regmi; Rui Li
May, 2022 Passed my research potential assessment (PhD qualifying exam)
Dec, 2021 Volunteered at the Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
Aug, 2021 Started PhD in Computing and Information Science at Rochester Institute of Technology (RIT), advised by Prof. Rui Li
May, 2021 Promoted to Solutions Engineer at LogPoint
Jul, 2019 Our paper titled "Nepali Speech Recognition Using RNN-CTC Model" is published in the International Journal of Computer Applications -- Paribesh Regmi; Arjun Dahal; Basanta Joshi
Oct, 2018 Joined LogPoint, a SIEM company as an Associate Solutions Engineer
Sep, 2018 Successfully completed an undergraduate degree in Electronics and Communication Engineering at Pulchowk Campus, IOE, Nepal