Anthony Yezzi
8 papers · 2015–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
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Topic Evolution
Venues
Top co-authors
Research topics
Keywords
partial differential equation
(4)
texture segmentation
(2)
variational method
(2)
neural network optimization
(2)
scale space
(2)
numerical instability
(2)
learning rate
(2)
stochastic gradient descent
(2)
motion segmentation
(1)
manifold optimization
(1)
variational framework
(1)
energy optimization
(1)
shape reconstruction
(1)
implicit neural representation
(1)
weight decay
(1)
training dynamics
(1)
signed distance function
(1)
optimization method
(1)
deep network
(1)
accelerated gradient descent
(1)
Papers
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
JMLR 2024
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
NeurIPS 2023
Decomposing the Tangent of Occluding Boundaries according to Curvatures and Torsions
ECCV 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
NeurIPS 2022
PDE Acceleration for Active Contours
CVPR 2019
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
NeurIPS 2018
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces
CVPR 2017
Shape-Tailored Local Descriptors and Their Application to Segmentation and Tracking
CVPR 2015