Faculty

Institution

Unit

Venue

Maxim Raginsky

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Maxim Raginsky is currently serving as an Electrical And Computer Engineering Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Maxim Raginsky

University of Illinois Urbana-Champaign

Professor

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applied mathematics computer science mathematical optimization machine learning stochastic process mathematics machine learning research probability theory information theory applied probability statistical inference data science entropy signal processing computational statistics convex analysis computational optimization neural network (machine learning) stochastic optimization statistical learning theory control optimization computational intelligence statistical methodology stochastic dynamics online algorithms bayesian analysis quantum science recurrent neural networks supervised learning digital image processing computational imaging compressive sensing lower bounds dynamic optimization markov decision process sparse representations data compression image representation algorithmic information theory signal reconstruction stochastic games circuit simulation stochastic control computational learning theory automatic control channel characterization channel capacity estimation mutual information concentration inequalities global optimization game-theoretic probability quantum communications convex optimization theoretical economics mean field games generative models semi-supervised learning feature learning online markov decision conditional mutual information optimization problems robust optimization quantum systems online problem performance bounds poisson noise approximate nash equilibrium colored gaussian background exponential family measure inequalities minimization procedure discrete channels relative entropy decentralized online optimization nash equilibria generalization bias systems engineering

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fitting an Immersed Submanifold to Data via Sussmann’s Orbit Theorem. Mathematics of Control Signals and Systems (2025)

Joshua HansonMaxim Raginsky

riemannian manifoldapplied mathematicsgeometric analysisglobal geometrytopologygeometrymanifold modelinggeometric topologyriemannian geometrymathematicsimmersed submanifolddifferential geometrygeometry and topology

Generalization Bounds: Perspectives From Information Theory and Pac-Bayes. Foundations and Trends® in Machine Learning (2025)

Fredrik HellströmGiuseppe DurisiBenjamin GuedjMaxim Raginsky

algorithmic information theorykolmogorov complexitybayesian analysisinformation theoryprobability theorystatistical inferencelower boundsmathematicsstatistics

A Variational Approach to Sampling in Diffusion Processes. arXiv (Cornell University) (2024)

Raginsky, Maxim

gibbs variational principleapplied mathematicsdiffusion processesbayesian analysisapplied probabilitystochastic systemsprobability theorystatistical inferencestatistical mechanicsstochastic processstochastic calculustime reversalstatistics

Rademacher Complexity of Neural Odes via Chen-Fliess Series. arXiv (Cornell University) (2024)

Hanson, JoshuaRaginsky, Maxim

scientific computingnonlinear systemscomputational intelligenceapplied mathematicssparse neural networkdynamical systemsnonlinear dynamicsrecurrent neural networksode modelsmathematicsneural computationiterated integralsrademacher complexityneural network (machine learning)

Revisiting Stochastic Realization Theory Using Functional It\^O Calculus. arXiv (Cornell University) (2024)

Veeravalli, TanyaRaginsky, Maxim

applied mathematicsrealization theoryfunctional it\^o calculusapplied probabilitystochastic systemsprobability theorynonlinear dynamicsstochastic processmathematicsgeneral systemsbrownian motionstochastic calculus

Some Remarks on Controllability of the Liouville Equation. arXiv (Cornell University) (2024)

Raginsky, Maxim

controllable linear systemsnonlinear systemsapplied mathematicscontrol optimizationcontrollabilityobservabilityautomatic controlmathematical control theorycontrol systemsnonlinear controlsmooth manifoldsdynamical systemsnonlinear dynamicsliouville equationmathematicsdifferential equations

The State–Space Revolution in the Study of Complex Systems. SFI Press eBooks (2024)

Maxim Raginsky

complex modelingcomplex systemsnonlinear systemssystems engineeringsystems modelingcomplex dynamic systemscyberneticscomplex dynamicsdynamical systemsnonlinear dynamicsstabilitysystem sciencegeneral systems

Transformer-Based Models Are Not yet Perfect at Learning to Emulate Structural Recursion. arXiv (Cornell University) (2024)

Zhang, DylanTigges, CurtZhang, ZoryBiderman, StellaRaginsky, MaximRinger, Talia

declarative programmingnatural language generationprogramming languagesstructural recursionprogram synthesisnatural language processingcomputer sciencetransformer-based modelscode representationlanguage models

Variations on a Theme by Aristotle (With a Little Help From Euler, Lagrange, Hamilton, and Pontryagin). The Mathematical Intelligencer (2024)

Maxim Raginsky

intellectual historyliterary historypractical philosophyancient philosophyhistory of philosophyclassicslittle helpphilosophical inquiryphilosophy of historypoeticsphilosophyearly modern philosophy

A Chain Rule for the Expected Suprema of Bernoulli Processes. arXiv (Cornell University) (2023)

Chu, YifengRaginsky, Maxim

asymptotic analysisapplied mathematicsergodic theorybernoulli processesupper boundapplied probabilityprobability theorymeasure theorypoisson boundarychain rulestochastic processmathematicsstochastic calculus

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Maxim Raginsky

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Maxim Raginsky is currently serving as an Electrical And Computer Engineering Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Maxim Raginsky

University of Illinois Urbana-Champaign

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fitting an Immersed Submanifold to Data via Sussmann’s Orbit Theorem. Mathematics of Control Signals and Systems (2025)

Joshua HansonMaxim Raginsky

Generalization Bounds: Perspectives From Information Theory and Pac-Bayes. Foundations and Trends® in Machine Learning (2025)

Fredrik HellströmGiuseppe DurisiBenjamin GuedjMaxim Raginsky

algorithmic information theorykolmogorov complexitybayesian analysisinformation theoryprobability theorystatistical inferencelower boundsmathematicsstatistics

A Variational Approach to Sampling in Diffusion Processes. arXiv (Cornell University) (2024)

Raginsky, Maxim

Rademacher Complexity of Neural Odes via Chen-Fliess Series. arXiv (Cornell University) (2024)

Hanson, JoshuaRaginsky, Maxim

Revisiting Stochastic Realization Theory Using Functional It\^O Calculus. arXiv (Cornell University) (2024)

Veeravalli, TanyaRaginsky, Maxim

Some Remarks on Controllability of the Liouville Equation. arXiv (Cornell University) (2024)

Raginsky, Maxim

The State–Space Revolution in the Study of Complex Systems. SFI Press eBooks (2024)

Maxim Raginsky

Transformer-Based Models Are Not yet Perfect at Learning to Emulate Structural Recursion. arXiv (Cornell University) (2024)

Zhang, DylanTigges, CurtZhang, ZoryBiderman, StellaRaginsky, MaximRinger, Talia

Variations on a Theme by Aristotle (With a Little Help From Euler, Lagrange, Hamilton, and Pontryagin). The Mathematical Intelligencer (2024)

Maxim Raginsky

intellectual historyliterary historypractical philosophyancient philosophyhistory of philosophyclassicslittle helpphilosophical inquiryphilosophy of historypoeticsphilosophyearly modern philosophy

A Chain Rule for the Expected Suprema of Bernoulli Processes. arXiv (Cornell University) (2023)

Chu, YifengRaginsky, Maxim

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5
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10 / page

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