Philip Schniter
6 papers · 2017–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (2) π Academic Marathon (7) π Cross-Pollinator (9) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
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Keyword Champion
(2)
Conferences
NIPS (5)
ICML (1)
Top co-authors
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
NIPS 2024
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
NIPS 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
ICML 2023
Matrix Inference and Estimation in Multi-Layer Models
NIPS 2020
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
NIPS 2018
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
NIPS 2017