Philip Schniter
6 papers · 2017–2024 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(2)
Computer Vision
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Models
(2)
Optimization
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Clinical
(1)
Core AI
(1)
Keywords
approximate message passing
(3)
posterior sampling
(3)
inverse problem
(2)
high-dimensional estimation
(2)
generative model
(2)
image reconstruction
(2)
linear inverse problem
(2)
magnetic resonance imaging
(1)
mean squared error
(1)
state evolution
(1)
normalizing flow
(1)
conditional gan
(1)
wasserstein gan
(1)
image recovery
(1)
accelerated imaging
(1)
neural network
(1)
multi-layer neural network
(1)
matrix inference
(1)
plug-in estimation
(1)
plug-in denoising
(1)
Papers
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
NeurIPS 2024
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
ICML 2023
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
NeurIPS 2023
Matrix Inference and Estimation in Multi-Layer Models
NeurIPS 2020
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
NeurIPS 2018
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
NeurIPS 2017