Benoît Dherin

Google (United States) — United States

Mathematics · Physical Sciences

10h-index235citations38works0.42yr avg
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Research Topics

Homotopy and Cohomology in Algebraic Topology(14), Advanced Topics in Algebra(13), Algebraic structures and combinatorial models(10), Intracerebral and Subarachnoid Hemorrhage Research(6), Intracranial Aneurysms: Treatment and Complications(4)

Publications38 total

Transmuting prompts into weights
2025Open Access
Learning without training: The implicit dynamics of in-context learning
arXiv (Cornell University)·2025Open Access
Learning by solving differential equations
arXiv (Cornell University)·2025Open Access
SAHVAI‐3D and 4D: Automated AI Volumetric Measurement of Subarachnoid Hemorrhage on Noncontrast Head CT
Stroke Vascular and Interventional Neurology·2025· 1 citedOpen Access
Training in reverse: How iteration order influences convergence and stability in deep learning
ArXiv.org·2025· 1 citedOpen Access
SAHVAI-3D and 4D: A New, Automated Subarachnoid Hemorrhage Volumetric Artificial Intelligence (SAHVAI) Measurement Approach Using Non-Contrast Head CT Scans
2024· 1 citedOpen Access
A Margin-based Multiclass Generalization Bound via Geometric Complexity
arXiv (Cornell University)·2024Open Access
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
arXiv (Cornell University)·2024Open Access
Geometric States
arXiv (Cornell University)·2024Open Access
Corridor Geometry in Gradient-Based Optimization
arXiv (Cornell University)·2024Open Access
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
2024· 1 cited
Implicit biases in multitask and continual learning from a backward error analysis perspective
arXiv (Cornell University)·2023Open Access
Hemorrhage Evaluation and Detector System for Underserved Populations: HEADS-UP
Mayo Clinic Proceedings Digital Health·2023· 6 citedOpen Access
Artificial intelligence and machine learning in aneurysmal subarachnoid hemorrhage: Future promises, perils, and practicalities
Journal of the Neurological Sciences·2023· 17 cited
Artificial Intelligence and Machine Learning in Aneurysmal Subarachnoid Hemorrhage: Future Promises, Perils, and Practicalities
2023· 3 citedOpen Access
Morse Neural Networks for Uncertainty Quantification
arXiv (Cornell University)·2023· 3 citedOpen Access
<i>H</i> emorrhage <i>E</i> valuation And <i>D</i> etector <i>S</i> ystem for <i>U</i> nderserved <i>P</i> opulations: <i>HEADS UP</i>
2023· 2 citedOpen Access
On a continuous time model of gradient descent dynamics and instability in deep learning
arXiv (Cornell University)·2023· 1 citedOpen Access
Why neural networks find simple solutions: the many regularizers of geometric complexity
arXiv (Cornell University)·2022· 10 citedOpen Access
The Geometric Occam's Razor Implicit in Deep Learning
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Michael Munn(8), Javier Gonzalvo(7), Alberto S. Cattaneo(6), Saif Salman(6), Qiangqiang Gu(6), Rohan Sharma(6), Rabih G. Tawk(6), William D. Freeman(6), David G. T. Barrett(5), Yujia Wei(4), Sanjana Reddy(4), Hanna Mazzawi(4), Alan Weinstein(3), Mihaela Roşca(3), Friedrich Wagemann(2), Giovanni Felder(2), Camilo Arias Abad(2), Marius Crainic(2), Patrick M. Vanderboom(2), Lin Lancaster(2)