1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo, Michelle Adeline, Arghya Pal +3
Energy based models (EBMs) are appealing for their generality and simplicity in data likelihood modeling, but have conventionally been difficult to train due to the unstable and ti…
eess.IV2022★ 1 cited
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces
Kyler Larsen, Arghya Pal, Yogesh Rathi
Magnetic Resonance Imaging (MRI) scans are time consuming and precarious, since the patients remain still in a confined space for extended periods of time. To reduce scanning time,…