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Fred Roosta
Scholar

Fred Roosta

Google Scholar ID: FoDWxx8AAAAJ
University of Queensland
Machine LearningNumerical OptimizationComputational StatisticsScientific Computing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,876
 
H-index
21
 
i10-index
38
 
Publications
20
 
Co-authors
78
list available
Publications
8 items
Is the Last Layer Sufficient for Uncertainty Quantification?
2026
Cited
0
The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
2026
Cited
0
Counterfactual Explanations on Robust Perceptual Geodesics
2026
Cited
1
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
2025
Cited
0
Importance Sampling for Nonlinear Models
2025
Cited
0
Determinant Estimation under Memory Constraints and Neural Scaling Laws
2025
Cited
0
First-ish Order Methods: Hessian-aware Scalings of Gradient Descent
2025
Cited
0
Uncertainty Quantification with the Empirical Neural Tangent Kernel
2025
Cited
0
Co-authors
13 total
Michael Mahoney
Michael Mahoney
Professor of Statistics, UC Berkeley
Liam Hodgkinson
Liam Hodgkinson
University of Melbourne
Uri Ascher
Uri Ascher
Professor of Computer Science, UBC
Chris van der Heide
Chris van der Heide
University of Melbourne
Marcus Gallagher
Marcus Gallagher
University of Queensland
Kimon Fountoulakis
Kimon Fountoulakis
David R. Cheriton School of Computer Science, University of Waterloo
Julian Shun
Julian Shun
MIT
Russell Tsuchida
Russell Tsuchida
Lecturer, Monash University