Mathukumalli Vidyasagar

Publication Activity (10 Years)

Years Active: 1972-2023
Publications (10 Years): 37

Top Topics

Compressed Sensing

Learning Theory

Top Venues

IEEE Trans. Signal Process.

Publications

Mathukumalli Vidyasagar
A Tutorial Introduction to Reinforcement Learning. CoRR (2023)
Richa Bansal, Sathiakar Collison, Lakshmi Krishnan, Bharat Aggarwal, Mathukumalli Vidyasagar, Siva Teja Kakileti, Geetha Manjunath
A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital. Frontiers Artif. Intell. 5 (2022)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Modified Error Bounds for Matrix Completion and Application to RL. IEEE Control. Syst. Lett. 6 (2022)
Sourav Chatterjee, Mathukumalli Vidyasagar
Estimating large causal polytree skeletons from small samples. CoRR (2022)
Manindra Agrawal, Madhuri Kanitkar, Mathukumalli Vidyasagar
SUTRA: An Approach to Modelling Pandemics with Undetected (Asymptomatic) Patients, and Applications to COVID-19. CDC (2021)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs: Exact and Stable Recovery. IEEE Trans. Signal Process. 68 (2020)
Mahsa Lotfi, Mathukumalli Vidyasagar
Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions. IEEE Trans. Signal Process. 68 (2020)
Shashank Ranjan, Mathukumalli Vidyasagar
For Matrix Recovery, Rank Restricted Isometry Property and Robust Uniform Boundedness Property Imply Rank Robust Null Space Property. ACC (2020)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Deterministic Completion of Rectangular Matrices With Measurement Noise Using Unbalanced Ramanujan Bigraphs. CDC (2020)
Masaaki Nagahara, Debasish Chatterjee, Niharika Challapalli, Mathukumalli Vidyasagar
CLOT norm minimization for continuous hands-off control. Autom. 113 (2020)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Exact Completion of Rectangular Matrices Using Ramanujan Bigraphs. ACC (2020)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory. J. Mach. Learn. Res. 20 (2019)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs. CoRR (2019)
Shashank Ranjan, Mathukumalli Vidyasagar
Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity. IEEE Trans. Signal Process. 67 (11) (2019)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Construction of High-Degree Ramanujan Graphs With Applications to Matrix Completion. ACC (2019)
Shashank Ranjan, Mathukumalli Vidyasagar
Deterministic Construction of Bipolar Matrices For Compressed Sensing. CDC (2019)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs. CDC (2019)
Shantanu Prasad Burnwal, Mathukumalli Vidyasagar, Kaneenika Sinha
Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs - II: Explicit Constructions and Phase Transitions. CoRR (2019)
Mahsa Lotfi, Mathukumalli Vidyasagar
Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions. CoRR (2018)
Mahsa Lotfi, Mathukumalli Vidyasagar
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices. IEEE Trans. Signal Process. 66 (15) (2018)
Nitin K. Singh, Mehmet Eren Ahsen, Niharika Challapalli, Hyun-Seok Kim, Michael A. White, Mathukumalli Vidyasagar
Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer. IEEE Trans. Mol. Biol. Multi Scale Commun. 4 (3) (2018)
Mahsa Lotfi, Mathukumalli Vidyasagar
Array LDPC Code-based Compressive Sensing. Allerton (2018)
Mathukumalli Vidyasagar
Machine learning methods in computational cancer biology. Annu. Rev. Control. 43 (2017)
Mehmet Eren Ahsen, Niharika Challapalli, Mathukumalli Vidyasagar
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect. J. Mach. Learn. Res. 18 (2017)
Mahsa Lotfi, Burook Misganaw, Mathukumalli Vidyasagar
Prediction of Time to Tumor Recurrence in Ovarian Cancer: Comparison of Three Sparse Regression Methods. ISBRA (2017)
Hema Kumari Achanta, Burook Misganaw, Mathukumalli Vidyasagar
A multi-view ℓ1-norm SVM algorithm for data integration in biological applications. ACC (2017)
Niharika Challapalli, Masaaki Nagahara, Mathukumalli Vidyasagar
CLOT Norm Minimization for Continuous Hands-off Control. CoRR (2017)
Mahsa Lotfi, Mathukumalli Vidyasagar
A fast single-pass algorithm for compressive sensing based on binary measurement matrices. Allerton (2017)
Mahsa Lotfi, Mathukumalli Vidyasagar
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices. CoRR (2017)
Burook Misganaw, Mathukumalli Vidyasagar
A robust platform-independent gene signature for single-sample breast cancer subtyping. ACC (2016)
Nitin K. Singh, Mathukumalli Vidyasagar
bLARS: An Algorithm to Infer Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (2) (2016)
Niharika Challapalli, Masaaki Nagahara, Mathukumalli Vidyasagar
Continuous Hands-off Control by CLOT Norm Minimization. CoRR (2016)
Mehmet Eren Ahsen, Todd P. Boren, Nitin K. Singh, Burook Misganaw, Jayanthi S. Lea, David S. Miller, Michael A. White, Mathukumalli Vidyasagar
Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract. BCB (2016)
Niharika Challapalli, Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Modelling drug response and resistance in cancer: Opportunities and challenges. CDC (2016)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
An approach to one-bit compressed sensing based on probably approximately correct learning theory. CDC (2015)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
A PAC learning approach to one-bit compressed sensing. ACC (2015)
Burook Misganaw, Mehmet Eren Ahsen, Nitin K. Singh, Keith A. Baggerly, Anna Unruh, Michael A. White, Mathukumalli Vidyasagar
Optimized prediction of extreme treatment outcomes in ovarian cancer. CDC (2015)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Near-ideal behavior of compressed sensing algorithms. CDC (2014)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Near-ideal behavior of some compressed sensing algorithms. ECC (2014)
Mathukumalli Vidyasagar
Machine Learning Methods in the Computational Biology of Cancer. CoRR (2014)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties. IEEE Trans. Autom. Control. 59 (1) (2014)
Nitin K. Singh, Aishwarya Sundaresan, Mathukumalli Vidyasagar
A sparse Bayesian learning based approach to Inferring Gene Regulatory Networks. GlobalSIP (2013)
Mathukumalli Vidyasagar
Near-ideal behavior of a modified Elastic Net algorithm. CDC (2013)
Mathukumalli Vidyasagar, Yutaka Yamamoto
Convergence and compactness of families of proper plants in the graph topology. CDC (2012)
Mathukumalli Vidyasagar
A Metric Between Probability Distributions on Finite Sets of Different Cardinalities and Applications to Order Reduction. IEEE Trans. Autom. Control. 57 (10) (2012)
Mathukumalli Vidyasagar
Probabilistic Methods in Cancer Biology. Eur. J. Control 17 (5-6) (2011)
Yutaka Yamamoto, Mathukumalli Vidyasagar
Compact sets in the graph topology and applications to approximation of system design. CDC/ECC (2011)
Mathukumalli Vidyasagar
Metrics Between Probability Distributions on Finite Sets of Different Cardinalities by Maximizing Mutual Information (MMI) CoRR (2011)
Kun Deng, Prashant G. Mehta, Sean P. Meyn, Mathukumalli Vidyasagar
A recursive learning algorithm for model reduction of Hidden Markov Models. CDC/ECC (2011)
Mathukumalli Vidyasagar
Kullback-Leibler divergence rate between probability distributions on sets of different cardinalities. CDC (2010)
Mathukumalli Vidyasagar
Reduced-order modeling of Markov and hidden Markov processes via aggregation. CDC (2010)
Mathukumalli Vidyasagar
An elementary derivation of the large deviation rate function for finite state Markov chains. CDC (2009)
Mathukumalli Vidyasagar, Sharmila S. Mande, Ch. V. Siva K. Reddy, V. V. Raja Rao
The 4M (Mixed Memory Markov Model) Algorithm for Finding Genes in Prokaryotic Genomes. IEEE Trans. Autom. Control. 53 (2008)
Mathukumalli Vidyasagar, Rajeeva L. Karandikar
System identification: a learning theory approach. CDC (2001)
Mathukumalli Vidyasagar
Randomized Algorithms for Robust Controller Synthesis Using Statistical Learning Theory: A Tutorial Overview. Eur. J. Control 7 (2-3) (2001)
Marco C. Campi, Mathukumalli Vidyasagar
Learning with prior information. IEEE Trans. Autom. Control. 46 (11) (2001)
Mathukumalli Vidyasagar
Minimum-seeking properties of analog neural networks with multilinear objective functions. IEEE Trans. Autom. Control. 40 (8) (1995)
Mathukumalli Vidyasagar
Location and stability of the high-gain equilibria of nonlinear neural networks. IEEE Trans. Neural Networks 4 (4) (1993)
David Wang, Mathukumalli Vidyasagar
Modeling a class of multilink manipulators with the last link flexible. IEEE Trans. Robotics Autom. 8 (1) (1992)
David Wang, Mathukumalli Vidyasagar
Transfer Functions for a Single Flexible Link. Int. J. Robotics Res. 10 (5) (1991)
David Wang, Mathukumalli Vidyasagar
Observer-controller stabilization of a class of manipulators with a single flexible link. ICRA (1991)
Yao-Chon Chen, Mathukumalli Vidyasagar
Optimal control of robotic manipulators in the presence of obstacles. J. Field Robotics 7 (5) (1990)
Yao-Chon Chen, Mathukumalli Vidyasagar
Optimal trajectory planning for planar n-link revolute manipulators in the presence of obstacles. ICRA (1988)
H. Krishnan, Mathukumalli Vidyasagar
Control of a single-link flexible beam using a Hankel-norm-based reduced order model. ICRA (1988)
David Wang, Mathukumalli Vidyasagar
Modelling of a 5-bar-linkage manipulator with one flexible link. ICRA (1988)
Mark W. Spong, Mathukumalli Vidyasagar
Robust linear compensator design for nonlinear robotic control. IEEE J. Robotics Autom. 3 (4) (1987)
Mathukumalli Vidyasagar
New directions of research in nonlinear system theory. Proc. IEEE 74 (8) (1986)
Mark W. Spong, Mathukumalli Vidyasagar
Robust linear compensator design for nonlinear robotic control. ICRA (1985)
Jake K. Aggarwal, Mathukumalli Vidyasagar
Nonlinear systems: Stability analysis. IEEE Trans. Syst. Man Cybern. 15 (4) (1985)
Mathukumalli Vidyasagar
Review of "Qualitative Analysis of Large Scale Dynamical Systems" by Anthony N. Michel and Richard K. Miller. IEEE Trans. Syst. Man Cybern. 10 (10) (1980)
S. R. K. Dutta, Mathukumalli Vidyasagar
New algorithms for constrained minimax optimization. Math. Program. 13 (1) (1977)
Mathukumalli Vidyasagar
Review of "The Analysis of Feedback Systems" by Jan C. Willems. IEEE Trans. Syst. Man Cybern. 2 (4) (1972)
Mathukumalli Vidyasagar
Review of "Nonlinear System Theory-A Functional Analysis Approach" by Jack M. Holtzman. IEEE Trans. Syst. Man Cybern. 2 (4) (1972)