96 citations · 290 across the 18 of their papers we have counts for
20 papers
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi +1
We present new insights and a novel paradigm (StEik) for learning implicit neural representations (INR) of shapes. In particular, we shed light on the popular eikonal loss used for…
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi +1
We discover restrained numerical instabilities in current training practices of deep networks with stochastic gradient descent (SGD), and its variants. We show numerical error (on…
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow
Zelin Zhang, Anthony Yezzi, Guillermo Gallego
Event cameras are novel bio-inspired sensors that measure per-pixel brightness differences asynchronously. Recovering brightness from events is appealing since the reconstructed im…
A Variational Surface-Evolution Perspective for Optimal Transport between Densities with Differing Compact Support
Anthony Yezzi
We examine the optimal mass transport problem in between densities having independent compact support by considering the geometry of a continuous interpolating sup…
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
Navdeep Dahiya, Gourav Jhanwar, Anthony Yezzi +2
Deep learning (DL) 3D dose prediction has recently gained a lot of attention. However, the variability of plan quality in the training dataset, generated manually by planners with…
Intrinsic Integration
Navdeep Dahiya, Martin Mueller, Anthony Yezzi
If we wish to integrate a function along a single -level surface of a function , then a number of different methods for extrac…