Maxim Raginsky

Computer Science · Physical Sciences

33h-index3.7kcitations206works0.62yr avg
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Research Topics

Machine Learning and Algorithms(29), Wireless Communication Security Techniques(26), Sparse and Compressive Sensing Techniques(25), Advanced Bandit Algorithms Research(25), Distributed Sensor Networks and Detection Algorithms(23)

Publications206 total

Spatially-Coupled Network RNA Velocities: A Control-Theoretic Perspective
ArXiv.org·2026Open Access
Spatially-Coupled Network RNA Velocities: A Control-Theoretic Perspective
arXiv (Cornell University)·2026Open Access
Expressivity of Quadratic Neural ODEs
arXiv (Cornell University)·2025Open Access
Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets
arXiv (Cornell University)·2025Open Access
Fitting an immersed submanifold to data via Sussmann’s orbit theorem
Mathematics of Control Signals and Systems·2025
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
Foundations and Trends® in Machine Learning·2025· 7 cited
A Variational Approach to Sampling in Diffusion Processes
2024· 2 cited
Variations on a Theme by Aristotle (with a Little Help from Euler, Lagrange, Hamilton, and Pontryagin)
The Mathematical Intelligencer·2024
A variational approach to sampling in diffusion processes
arXiv (Cornell University)·2024Open Access
Some Remarks on Controllability of the Liouville Equation
arXiv (Cornell University)·2024Open Access
Revisiting Stochastic Realization Theory using Functional Itô Calculus
arXiv (Cornell University)·2024Open Access
Rademacher Complexity of Neural ODEs via Chen-Fliess Series
arXiv (Cornell University)·2024Open Access
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
arXiv (Cornell University)·2024Open Access
Revisiting Stochastic Realization Theory using Functional Itô Calculus
IFAC-PapersOnLine·2024Open Access
The State–Space Revolution in the Study of Complex Systems
SFI Press eBooks·2024
A Constructive Approach to Function Realization by Neural Stochastic Differential Equations
2023· 1 cited
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
arXiv (Cornell University)·2023· 6 citedOpen Access
August 2023 Conference Calendar [Conference Calendar]
IEEE Control Systems·2023· 1 citedOpen Access
A Constructive Approach to Function Realization by Neural Stochastic Differential Equations
arXiv (Cornell University)·2023Open Access
Majorizing Measures, Codes, and Information
2023
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Frequent Co-authors

Aolin Xu(7), Rebecca Willett(6), Svetlana Lazebnik(5), Alexander Rakhlin(5), Roummel F. Marcia(3), Naci Saldı(3), Tamer Başar(3), Belinda Tzen(3), Igal Sason(2), Zachary T. Harmany(2), Matus Telgarsky(2), Soomin Lee(2), Angelia Nedić(2), Jaeho Lee(1), Matthew Tsao(1), Yihong Wu(1), Peng Guan(1), Jake Bouvrie(1), Sina Jafarpour(1), Robert Calderbank(1)