List of works - Thomas Kailath

Climate change and the integrity of science

scientific article

Model-free distributed learning

scientific article published in January 1990

Stabilizing state-feedback design via the moving horizon method

Computing with Almost Optimal Size Neural Networks

scientific article published in January 1993

Fast subspace-based system identification: An instrumental variable approach

scholarly article

H∞ Optimal Training Algorithms and their Relation to Backpropagation

scientific article published in January 1995

Explicit strict sense state-space realizations of non-stationary processes†

scholarly article

Brain-inspired automated visual object discovery and detection

scholarly article by Lichao Chen et al published 2 January 2019 in Proceedings of the National Academy of Sciences of the United States of America

Neural Network Weight Matrix Synthesis Using Optimal Control Techniques

scientific article published in January 1990

A general weight matrix formulation using optimal control

scientific article published in January 1991

ESPRIT And Uniform Linear Arrays

Stochastic Interpretations and Recursive Algorithms for Spline Functions

Article published in July 1974 The Annals of Statistics

Performance analysis of the total least squares ESPRIT algorithm

article by Björn Ottersten et al published May 1991 in IEEE Transactions on Signal Processing

Asymptotic Analysis Of The Total Least Squares ESPRIT Algorithm'

scholarly article published 14 November 1989

Hoo Optimality Criteria for LMS and Backpropagation

scientific article published in January 1994

The Structure of Radon-Nikodym Derivatives with Respect to Wiener and Related Measures

Article published in June 1971 The Annals of Mathematical Statistics

Absolute Continuity and Radon-Nikodym Derivatives for Certain Measures Relative to Wiener Measure

Article published in February 1971 The Annals of Mathematical Statistics

Covariance Characterization by Partial Autocorrelation Matrices

Article published in May 1978 The Annals of Statistics

Analysis of subspace fitting and ML techniques for parameter estimation from sensor array data

Complexity of Finite Precision Neural Network Classifier

scientific article published in January 1990

List of works by Thomas Kailath

Climate change and the integrity of science

Model-free distributed learning

Stabilizing state-feedback design via the moving horizon method

Computing with Almost Optimal Size Neural Networks

Fast subspace-based system identification: An instrumental variable approach

H∞ Optimal Training Algorithms and their Relation to Backpropagation

Explicit strict sense state-space realizations of non-stationary processes†

Brain-inspired automated visual object discovery and detection

Neural Network Weight Matrix Synthesis Using Optimal Control Techniques

A general weight matrix formulation using optimal control

ESPRIT And Uniform Linear Arrays

Stochastic Interpretations and Recursive Algorithms for Spline Functions

Performance analysis of the total least squares ESPRIT algorithm

Asymptotic Analysis Of The Total Least Squares ESPRIT Algorithm'

Hoo Optimality Criteria for LMS and Backpropagation

The Structure of Radon-Nikodym Derivatives with Respect to Wiener and Related Measures

Absolute Continuity and Radon-Nikodym Derivatives for Certain Measures Relative to Wiener Measure

Covariance Characterization by Partial Autocorrelation Matrices

Analysis of subspace fitting and ML techniques for parameter estimation from sensor array data

Complexity of Finite Precision Neural Network Classifier

Detection and estimation in sensor arrays using weighted subspace fitting