Browse by IITH Authors

Article

Bansal, Richa and Collison, Sathiakar and Krishnan, Lakshmi and Aggarwal, Bharat and Vidyasagar, Mathukumalli and Kakileti, Siva Teja and Manjunath, Geetha (2023) 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 in Artificial Intelligence, 5. ISSN 2624-8212

Vidyasagar, Mathukumalli (2023) Convergence of stochastic approximation via martingale and converse Lyapunov methods. Mathematics of Control, Signals, and Systems, 35 (2). pp. 351-374. ISSN 0932-4194

Kakileti, Siva Teja and Shrivastava, Raghav and Vidyasagar, Mathukumalli and et al, . (2022) Automated vascular analysis of breast thermograms with interpretable features. Journal of Medical Imaging, 9 (04450). ISSN 2329-4302

Burnwal, Shantanu Prasad and Vidyasagar, Mathukumalli (2022) Modified Error Bounds for Matrix Completion and Application to RL. IEEE Control Systems Letters, 6. pp. 1916-1921. ISSN 2475-1456

Burnwal, Shantanu Prasad and Sinha, Kaneenika and Vidyasagar, Mathukumalli (2022) New and explicit constructions of unbalanced Ramanujan bipartite graphs. The Ramanujan Journal, 57 (3). pp. 1043-1069. ISSN 1382-4090

Lotfi, Mahsa and Vidyasagar, Mathukumalli (2020) Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions. IEEE Transactions on Signal Processing, 68. pp. 3008-3021. ISSN 1053-587X

Ansumali, Santosh and Kaushal, Shaurya and Kumar, Aloke and Prakash, Meher K. and Vidyasagar, Mathukumalli (2020) Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2. Annual Reviews in Control, 50. pp. 432-447. ISSN 1367-5788

Ahsen, M Eren and Vidyasagar, Mathukumalli (2019) An approach to one-bit compressed sensing based on probably approximately correct learning theory. Journal of Machine Learning Research, 20. ISSN 1532-4435

Conference or Workshop Item

Burnwal, Shantanu Prasad and Vidyasagar, Mathukumalli (2020) Exact Completion of Rectangular Matrices Using Ramanujan Bigraphs. In: 2020 American Control Conference, ACC 2020, 1 July 2020through 3 July 2020, Denver.

Ansumali, Santosh and Kaushal, Shaurya and Kumar, Aloke and Prakash, Meher K. and Vidyasagar, Mathukumalli (2020) Modelling the COVID-19 Pandemic: Asymptomatic Patients, Lockdown and Herd Immunity. In: 3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020, 3 December 2020through 5 December 2020, Beijing.

Vidyasagar, Mathukumalli (2020) Recent Advances in Reinforcement Learning. In: 2020 American Control Conference, ACC 2020, 1-3 July 2020, Denver.

Burnwal, Shantanu Prasad and Vidyasagar, Mathukumalli (2019) Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs. In: 58th IEEE Conference on Decision and Control, CDC, 11-13 December 2019, France.

Ranjan, S and Vidyasagar, Mathukumalli (2019) Deterministic Construction of Bipolar Matrices for Compressed Sensing. In: 58th IEEE Conference on Decision and Control, CDC, 11-13 December 2019, France.

Ahsen, M Eren and Vidyasagar, Mathukumalli (2015) An approach to one-bit compressed sensing based on probably approximately correct learning theory. In: 54th IEEE Conference on Decision and Control, CDC 2015, 15-18 December,2015, Kita-KuOsaka,Japan.