Scholar
Marco Mondelli
Google Scholar ID: BHdSb5AAAAAJ
Professor, IST Austria
Machine Learning
Data Science
Coding Theory
Information theory
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Citations & Impact
All-time
Citations
1,881
H-index
25
i10-index
41
Publications
20
Co-authors
67
list available
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Publications
26 items
High-Dimensional Asymptotics and Dataset Selection for Private Transfer Learning
2026
Cited
0
A Sharp Transition in Data Reconstruction under Differential Privacy
2026
Cited
0
When do data mixtures improve scaling laws? Insights from high-dimensional regression
2026
Cited
0
Grokking through the Lens of Minimum-Norm Interpolation
2026
Cited
0
$\lambda$-JEPA Spectral Anti-Collapse Regularization for Self-Supervised Learning
2026
Cited
0
Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
2026
Cited
0
Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention
2026
Cited
0
Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
2026
Cited
0
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Co-authors
12 total
Hamed Hassani
University of Pennsylvania (EE, CS, Stat) & Google Research
Ruediger Urbanke
EPFL
Warren Gross
Professor of Electrical and Computer Engineering, McGill University
Andrea Montanari
John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University
Simone Bombari
PhD Student, ISTA
Ramji Venkataramanan
University of Cambridge
Henry Pfister
Professor of Electrical and Computer Engineering, Duke University
Alexander Shevchenko
ETH Zürich
