Tejas Prashanth

According to our database, Tejas Prashanth authored at least 3 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets.

Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence.

Rahul Yedida, Snehanshu Saha, Tejas Prashanth

Appl. Intell., 2021

2020

LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks.

Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020