I am a fourth 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 spans Bayesian methods, graph learning, and generative models. I have worked on developing Bayesian model selection frameworks for both generative modeling and graph learning. Currently, I am focused on designing efficient algorithms to improve the inference speed of diffusion- and flow-based generative models.News
| June, 2025 | Our paper "Bayesian Neighborhood Adaptation for Graph Neural Networks" is accepted in Transactions of Machine Learning Research (TMLR) - Paribesh Regmi; Rui Li; Kishan KC |
| May, 2025 | Serving as a reviewer for Conference on Neural Information Processing Systems (NeurIPS), 2025. |
| Oct, 2024 | Serving as a reviewer for International Conference on Learning Representations (ICLR), 2024. |
| 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) |
| Aug, 2021 | Started PhD in Computing and Information Science at Rochester Institute of Technology (RIT), advised by Prof. Rui Li |
| 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 |