Fred Roosta
Scholar

Fred Roosta

Google Scholar ID: FoDWxx8AAAAJ
University of Queensland
Machine LearningNumerical OptimizationComputational StatisticsScientific Computing
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Citations & Impact
All-time
Citations
1,876
 
H-index
21
 
i10-index
38
 
Publications
20
 
Co-authors
78
list available
Contact
No contact links provided.
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
Resume (English only)
Co-authors
78 total
Michael Mahoney
Michael Mahoney
Professor of Statistics, UC Berkeley
Co-author 2
Co-author 2
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
Co-author 6
Co-author 6
Marcus Gallagher
Marcus Gallagher
University of Queensland
Kimon Fountoulakis
Kimon Fountoulakis
David R. Cheriton School of Computer Science, University of Waterloo