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20222026
most citedEfficient Convex Algorithms for Universal Kernel Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

math.AP2026

Stable Rational Approximation of PDE Transfer Functions with Error Bounds

Aleksandr Talitckii, Matthew M. Peet

Transfer functions of Partial Differential Equations (PDEs) are irrational and difficult to obtain. Unlike for rational transfer functions, only a few methods are available for the…

math.DS2026

Picard Iteration for Parameter Estimation in Nonlinear Dynamic Models of Aircraft and Spacecraft

Aleksandr Talitckii, Matthew Peet

The attitude dynamics of aircraft and spacecraft exhibit significantly nonlinear behaviour. In spacecraft, torque is generated through reaction wheels and control moment gyros. In…

eess.SY2025

A -Analysis and Synthesis Framework for Partial Integral Equations using IQCs

Thijs Lenssen, Aleksandr Talitckii, Matthew Peet +1

We develop a -analysis and synthesis framework for infinite-dimensional systems that leverages the Integral Quadratic Constraints (IQCs) to compute the structured singular value…

math.OC2024

Picard Iteration for Parameter Estimation in Nonlinear Ordinary Differential Equations using Low-Quality Data

Aleksandr Talitckii, Matthew M. Peet

We consider the problem of using experimental time-series data for parameter estimation in nonlinear ordinary differential equations, focusing on the case where the data is noisy,…

math.OC2023

Integral Quadratic Constraints with Infinite-Dimensional Channels

Aleksandr Talitckii, Peter Seiler, Matthew M. Peet

Modern control theory provides us with a spectrum of methods for studying the interconnection of dynamic systems using input-output properties of the interconnected subsystems. Per…

stat.ML2023★ 1 cited

Efficient Convex Algorithms for Universal Kernel Learning

Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet

The accuracy and complexity of machine learning algorithms based on kernel optimization are determined by the set of kernels over which they are able to optimize. An ideal set of k…

stat.ML2022

Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis

Brendon K. Colbert, Joslyn L. Mangal, Aleksandr Talitckii +2

The immune response is a dynamic process by which the body determines whether an antigen is self or nonself. The state of this dynamic process is defined by the relative balance an…