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 |