Rahul Parhi
4 papers · 2021–2025 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Keywords
neural network
(2)
representer theorem
(2)
variational framework
(1)
weight decay regularization
(1)
stochastic differential equation
(1)
weight decay
(1)
shallow neural network
(1)
banach space
(1)
ridge spline
(1)
variation space
(1)
multi-output neural network
(1)
rectified linear unit
(1)
network compression
(1)
non-gaussian process
(1)
self-similar process
(1)
neural network compression
(1)
variational space
(1)
multi-task learning
(1)
Papers
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis
COLT 2025
Random ReLU Neural Networks as Non-Gaussian Processes
JMLR 2025
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
JMLR 2024
Banach Space Representer Theorems for Neural Networks and Ridge Splines
JMLR 2021