Vidyadhar Upadhya

Designation: 

Assistant Professor

Date of Joining at NITK: 

Monday, October 9, 2023
Contact Details

E-mail: 

vidyadhar[dot]upadhya[at]nitk[dot]edu[dot]in
Academic Background

PhD, Electrical Department, IISc Bangalore
M.S, Electrical Department, IIT Madras

Areas of Interest
  • Machine Learning
  • Applied Machine Learning
Significant Publications

1. Vidyadhar Upadhya and PS Sastry. Learning Gaussian-Bernoulli RBMs using difference of convex functions optimization. IEEE Transactions on Neural Networks and Learning Systems, 2021.
2. Vidyadhar Upadhya and PS Sastry. An overview of restricted Boltzmann machines. Journal of the Indian Institute of Science, 99(2):225–236, 2019.
3. Vidyadhar Upadhya and P S Sastry. Efficient learning of restricted Boltz-mann machines using covariance estimates. In Proceedings of The Eleventh Asian Conference on Machine Learning, volume 101 of Proceedings of Machine Learning Research, pages 836–851. PMLR, 17–19 Nov 2019.
4. Vidyadhar Upadhya and P. S. Sastry. Learning RBM with a DC programming approach. In Proceedings of the Ninth Asian Conference on Machine Learning, volume 77 of Proceedings of Machine Learning Research, pages 498–513. PMLR, 15–17 Nov 2017.
5. V. Upadhya, A. Chatterjee, A. P. Prathosh, and P. Praveena. Respiration monitoring through thoraco-abdominal video with an LSTM. In 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), pages 165–171, 2016.
6. A. Chatterjee, A. P. Prathosh, P. Praveena, and V. Upadhya. Real-time visual respiration rate estimation with dynamic scene adaptation. In 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), pages 154–160, 2016.
7. A. Chatterjee, A. P. Prathosh, P. Praveena, and V. Upadhya. A vision based method for real-time respiration rate estimation using a recursive Fourier analysis. In 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), pages 143–149, 2016.
8. Vidyadhar Upadhya and PS Sastry. Empirical analysis of sampling based estimators for evaluating RBMs. In International Conference on Neural Information Processing, pages 545–553. Springer, 2015.
9. V. Upadhya and D. Jalihal. Blind non-parametric statistics for multichannel detection based on statistical covariances. In 2013 IEEE 14th International Symposium on ”A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), pages 1–6, 2013.
10. V. Upadhya and D. Jalihal. Almost exact threshold calculations for covariance absolute value detection algorithm. In 2012 National Conference on Communications (NCC), pages 1–5, 2012.

 

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Dr. P. Sam Johnson, Professor and Head
Department of MACS, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

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