Sudarshan Regmi

I am a first-year PhD student at Dartmouth College. I am fortunate to be advised by Professor Andrew Campbell. My research interests revolve around trustworthy machine learning. I obtained my Bachelor degree in 2022 from Department of Electronics and Computer Engineering at Pulchowk Campus, Tribhuvan University.

Email / Scholar / Twitter / Github / Linkedin

True wisdom is recognizing what you know,
and
acknowledging what you don't.

Research

My current research work centers on training general-purpose foundation models for time-series modality.

AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
arXiv preprint arXiv:2503.08023, 2025
PDF | Code

Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
Accepted to: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
PDF | Code

ReweightOOD: Loss Reweighting for Distance-based OOD Detection
Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K Gyawali, Danail Stoyanov, Binod Bhattarai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
PDF | Code

T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification
Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K Gyawali, Danail Stoyanov, Binod Bhattarai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
PDF | Code

For complete list of publications, visit Google Scholar

Academic Services

Conference reviewer: CVPR, MICCAI, ICCV, NeurIPS, ECCV, BMVC

Miscellaneous

Outside of research, I like watching/playing cricket and hiking. I also frequently enjoy revisiting Tolkien's Middle-earth. I enjoy comedy shows. After all, what is life without a touch of humor? 😉

Lucky welcomes you!