Sudarshan Regmi
Scholar

Sudarshan Regmi

Google Scholar ID: Tic585oAAAAJ
Dartmouth College
Machine Learning
Citations & Impact
All-time
Citations
82
 
H-index
4
 
i10-index
3
 
Publications
7
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: 1. Going Beyond Conventional OOD Detection (2024); 2. AdaSCALE: Adaptive Scaling for OOD Detection (2025); 3. ReweightOOD: Loss Reweighting for Distance-based OOD Detection (CVPR Workshops, 2024); 4. T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification (CVPR Workshops, 2024). Conference Reviewer: CVPR, MICCAI, ICCV, NeurIPS.
Research Experience
  • Projects: Developing solutions to enhance the reliability and safety of deep learning models for real-world deployment; Recently, keen interest in the safety and alignment aspects of foundation models.
Education
  • PhD Student at Dartmouth College, advised by Professor Andrew Campbell; Bachelor's degree from Department of Electronics and Computer Engineering, Pulchowk Campus, Tribhuvan University in 2022.
Background
  • Research Interests: Trustworthy machine learning; Focus: Enhancing the reliability and safety of deep learning models in safety-critical applications.
Miscellany
  • Interests: Watching/playing cricket, hiking, revisiting Tolkien's Middle-earth, comedy shows.
Co-authors
0 total
Co-authors: 0 (list not available)