Michelle Adeline

According to our database, Michelle Adeline authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching.

Junn Yong Loo, Fang Yu Leong, Michelle Adeline, Julia Kaiwen Lau, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan

Trans. Mach. Learn. Res., 2025

2024

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling.

Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan

CoRR, 2024

MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection.

Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024