Mathukumalli Vidyasagar

According to our database1, Mathukumalli Vidyasagar authored at least 114 papers between 1972 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions.
IEEE Trans. Signal Process., 2020

Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs: Exact and Stable Recovery.
IEEE Trans. Signal Process., 2020

CLOT norm minimization for continuous hands-off control.
Autom., 2020

Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2.
Annu. Rev. Control., 2020

Deterministic Completion of Rectangular Matrices With Measurement Noise Using Unbalanced Ramanujan Bigraphs.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Recent Advances in Reinforcement Learning.
Proceedings of the 2020 American Control Conference, 2020

For Matrix Recovery, Rank Restricted Isometry Property and Robust Uniform Boundedness Property Imply Rank Robust Null Space Property.
Proceedings of the 2020 American Control Conference, 2020

Exact Completion of Rectangular Matrices Using Ramanujan Bigraphs.
Proceedings of the 2020 American Control Conference, 2020

2019
Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity.
IEEE Trans. Signal Process., 2019

An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory.
J. Mach. Learn. Res., 2019

Editorial to the Special Issue of L-CSS on Control and Network Theory for Biological Systems.
IEEE Control. Syst. Lett., 2019

Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs - II: Explicit Constructions and Phase Transitions.
CoRR, 2019

Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs.
CoRR, 2019

Deterministic Construction of Bipolar Matrices For Compressed Sensing.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Construction of High-Degree Ramanujan Graphs With Applications to Matrix Completion.
Proceedings of the 2019 American Control Conference, 2019

2018
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices.
IEEE Trans. Signal Process., 2018

Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2018

Array LDPC Code-based Compressive Sensing.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect.
J. Mach. Learn. Res., 2017

CLOT Norm Minimization for Continuous Hands-off Control.
CoRR, 2017

Machine learning methods in computational cancer biology.
Annu. Rev. Control., 2017

Prediction of Time to Tumor Recurrence in Ovarian Cancer: Comparison of Three Sparse Regression Methods.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

Integrating biological data across multiple platforms using importance-weighted transfer learning and applications to breast cancer data sets.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

A multi-view ℓ1-norm SVM algorithm for data integration in biological applications.
Proceedings of the 2017 American Control Conference, 2017

A fast single-pass algorithm for compressive sensing based on binary measurement matrices.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
bLARS: An Algorithm to Infer Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Continuous Hands-off Control by CLOT Norm Minimization.
CoRR, 2016

A tutorial introduction to compressed sensing.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Modelling drug response and resistance in cancer: Opportunities and challenges.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

A robust platform-independent gene signature for single-sample breast cancer subtyping.
Proceedings of the 2016 American Control Conference, 2016

A transfer learning approach for integrating biological data across platforms.
Proceedings of the 2016 American Control Conference, 2016

2015
Learning Theory.
Proceedings of the Encyclopedia of Systems and Control, 2015

Optimized prediction of extreme treatment outcomes in ovarian cancer.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A PAC learning approach to one-bit compressed sensing.
Proceedings of the American Control Conference, 2015

2014
Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties.
IEEE Trans. Autom. Control., 2014

Machine Learning Methods in the Computational Biology of Cancer.
CoRR, 2014

Inferring Gene Regulatory Networks with Sparse Bayesian Learning and phi-mixing coefficient.
Proceedings of the 13th European Control Conference, 2014

Near-ideal behavior of some compressed sensing algorithms.
Proceedings of the 13th European Control Conference, 2014

Near-ideal behavior of compressed sensing algorithms.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
A sparse Bayesian learning based approach to Inferring Gene Regulatory Networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Near-ideal behavior of a modified Elastic Net algorithm.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On the computation of mixing coefficients between discrete-valued random variables.
Proceedings of the 9th Asian Control Conference, 2013

2012
Computational Cancer Biology - An Interaction Network Approach
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4471-4751-0, 2012

A Metric Between Probability Distributions on Finite Sets of Different Cardinalities and Applications to Order Reduction.
IEEE Trans. Autom. Control., 2012

Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Convergence and compactness of families of proper plants in the graph topology.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A new feature selection algorithm for two-class classification problems and application to endometrial cancer.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A novel application of mixing coefficients for reverse-engineering gene interaction networks.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Control System Synthesis: A Factorization Approach, Part II
Synthesis Lectures on Control and Mechatronics, Morgan & Claypool Publishers, ISBN: 9781608456635, 2011

Control System Synthesis: A Factorization Approach, Part I
Synthesis Lectures on Control and Mechatronics, Morgan & Claypool Publishers, ISBN: 9781608456628, 2011

The complete realization problem for hidden Markov models: a survey and some new results.
Math. Control. Signals Syst., 2011

Probabilistic Methods in Cancer Biology.
Eur. J. Control, 2011

Metrics Between Probability Distributions on Finite Sets of Different Cardinalities by Maximizing Mutual Information (MMI)
CoRR, 2011

Compact sets in the graph topology and applications to approximation of system design.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Optimal order reduction of probability distributions by maximizing mutual information.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A metric between probability distributions on finite sets of different cardinalities.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A recursive learning algorithm for model reduction of Hidden Markov Models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Reduced-order modeling of Markov and hidden Markov processes via aggregation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Kullback-Leibler divergence rate between probability distributions on sets of different cardinalities.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Learning, System Identification, and Complexity.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

An elementary derivation of the large deviation rate function for finite state Markov chains.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
The 4M (Mixed Memory Markov Model) Algorithm for Finding Genes in Prokaryotic Genomes.
IEEE Trans. Autom. Control., 2008

Guest Editorial - Special Issue on Systems Biology.
IEEE Trans. Autom. Control., 2008

2007
A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

Bounds on the kullback-leibler divergence rate between hidden markov models.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Predicting protein-protein interactions in E. coli using machine learning methods.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Bimodal Projection-based Features for Pattern Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

The 4M (Mixed Memory Markov Model) Algorithm for Finding Genes from Prokaryote Genomes.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2003
Synthesis of hidden Markov models based on finite sample paths and applications to computational biology.
Proceedings of the 7th European Control Conference, 2003

Some challenges in computational biology.
Proceedings of the 7th European Control Conference, 2003

2001
Learning with prior information.
IEEE Trans. Autom. Control., 2001

Randomized Algorithms for Robust Controller Synthesis Using Statistical Learning Theory: A Tutorial Overview.
Eur. J. Control, 2001

Probabilistic solutions to some NP-hard matrix problems.
Autom., 2001

Randomized algorithms for robust controller synthesis using statistical learning theory.
Autom., 2001

2000
Some contributions to fixed-distribution learning theory.
IEEE Trans. Autom. Control., 2000

1998
Synthesis of fault-tolerant feedforward neural networks using minimax optimization.
IEEE Trans. Neural Networks, 1998

1997
Learning decision rules for pattern classification under a family of probability measures.
IEEE Trans. Inf. Theory, 1997

1996
A Brief History of the Graph Topology<sup>*</sup>.
Eur. J. Control, 1996

1993
Location and stability of the high-gain equilibria of nonlinear neural networks.
IEEE Trans. Neural Networks, 1993

Convergence of higher-order neural networks with modified updating.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Modeling a class of multilink manipulators with the last link flexible.
IEEE Trans. Robotics Autom., 1992

A new parallelogram linkage configuration for gravity compensation using torsional springs.
Proceedings of the 1992 IEEE International Conference on Robotics and Automation, 1992

1991
Transfer Functions for a Single Flexible Link.
Int. J. Robotics Res., 1991

New techniques for H<sub>2</sub> optimal control of a flexible beam.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

Path planning for moving a point object amidst unknown obstacles in a plane: the universal lower bound on the worst path lengths and a classification of algorithms.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

Passivity of flexible beam transfer functions with modified outputs.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

Observer-controller stabilization of a class of manipulators with a single flexible link.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

1990
Optimal control of robotic manipulators in the presence of obstacles.
J. Field Robotics, 1990

An analysis of the flows of neural networks with linear interconnections.
Proceedings of the IJCNN 1990, 1990

Improved neural networks for analog to digital conversion.
Proceedings of the IJCNN 1990, 1990

A new path planning algorithm for moving a point object amidst unknown obstacles in a plane.
Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1990

Passive control of a single flexible link.
Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1990

1988
Modelling of a 5-bar-linkage manipulator with one flexible link.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

Control of a single-link flexible beam using a Hankel-norm-based reduced order model.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

Optimal trajectory planning for planar n-link revolute manipulators in the presence of obstacles.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

1987
Robust linear compensator design for nonlinear robotic control.
IEEE J. Robotics Autom., 1987

Some results on simultaneous stabilization with multiple domains of stability.
Autom., 1987

Parametric conditions for stability of reduced-order linear time-varying control systems.
Autom., 1987

Control of a flexible beam for optimum step response.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Control of a flexible robot arm with bounded input: Optimum step responses.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Some qualitative results on the collision-free joint space of a planar n-DOF linkage.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

1986
Robust controllers for uncertain linear multivariable systems.
Autom., 1986

Infinite gain margin problem in multivariable feedback systems.
Autom., 1986

Control of a flexible robot arm using the stable factorization approach.
Proceedings of the 1986 IEEE International Conference on Robotics and Automation, 1986

1985
Nonlinear systems: Stability analysis.
IEEE Trans. Syst. Man Cybern., 1985

Reliable stabilization using a multi-controller configuration.
Autom., 1985

Maximal lyapunov functions and domains of attraction for autonomous nonlinear systems.
Autom., 1985

1983
Algebraic and topological aspects of the regulator problem for lumped linear systems.
Autom., 1983

1980
Review of "Qualitative Analysis of Large Scale Dynamical Systems" by Anthony N. Michel and Richard K. Miller.
IEEE Trans. Syst. Man Cybern., 1980

1977
New algorithms for constrained minimax optimization.
Math. Program., 1977

1972
Review of "Nonlinear System Theory-A Functional Analysis Approach" by Jack M. Holtzman.
IEEE Trans. Syst. Man Cybern., 1972

Review of "The Analysis of Feedback Systems" by Jan C. Willems.
IEEE Trans. Syst. Man Cybern., 1972


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