Scholar
Theodor Misiakiewicz
Google Scholar ID: E8Jst30AAAAJ
Assistant Professor, Yale University
machine learning
probability theory
statistics
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Citations
2,090
H-index
16
i10-index
19
Publications
20
Co-authors
13
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Publications
9 items
Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime
2026
Cited
0
The sharp SAT/UNSAT phase transition in random ellipsoid fitting
2026
Cited
0
Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
2026
Cited
0
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
2026
Cited
0
Positive Distribution Shift as a Framework for Understanding Tractable Learning
2026
Cited
0
When does Gaussian equivalence fail and how to fix it: Non-universal behavior of random features with quadratic scaling
2025
Cited
0
Learning single-index models via harmonic decomposition
2025
Cited
0
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
2025
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0
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Co-authors
13 total
Andrea Montanari
John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University
Song Mei
Assistant Professor at UC Berkeley
Co-author 3
Enric Boix-Adserà
Assistant Professor at Wharton Statistics and Data Science
Co-author 5
Lechao Xiao
Google DeepMind
Jeffrey Pennington
Google Brain
Yue M. Lu
Gordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard University
