Scholar
Rahul Parhi
Google Scholar ID: 5A_1NL0AAAAJ
University of California, San Diego
applied mathematics
signal processing
machine learning
statistics
optimization
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Citations
582
H-index
8
i10-index
8
Publications
20
Co-authors
18
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Publications
18 items
Plug-and-Play Methods Provably Converge Even with Improperly Trained Denoisers: Convergence by Architectural Design
2026
Cited
0
Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers
2026
Cited
0
Lasso Universality Under Linearly Dependent Covariates in the Sparse Regime
2026
Cited
0
Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention
2026
Cited
0
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks
2026
Cited
0
On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness
2026
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0
The Inductive Bias of Convolutional Neural Networks: Locality and Weight Sharing Reshape Implicit Regularization
2026
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0
Towards Sharp Minimax Risk Bounds for Operator Learning
2025
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0
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Co-authors
15 total
Robert D Nowak
Keith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data Science
Michael Unser
Professor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Kangwook Lee
University of Wisconsin-Madison, KRAFTON AI
Ronald DeVore
Professor of Matematics, Texas A&M University
Jonathan W. Siegel
Assistant Professor, Texas A&M University
Nicholas Hopper
Professor of Computer Science & Engineering, University of Minnesota
Mehrsa Pourya
PhD Student, EPFL
Luke McDermott
UC San Diego
