Soma S. Dhavala

According to our database, Soma S. Dhavala authored at least 16 papers between 2017 and 2023.

Collaborative distances:

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

2023

Decoupling Quantile Representations from Loss Functions.

Aditya Challa, Snehanshu Saha, Soma S. Dhavala

CoRR, 2023

Correcting Model Misspecification via Generative Adversarial Networks.

Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha

CoRR, 2023

Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data.

Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota

CoRR, 2023

2022

AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence.

Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha

IEEE Trans. Emerg. Top. Comput. Intell., 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

Estimation and Applications of Quantiles in Deep Binary Classification.

Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha

IEEE Trans. Artif. Intell., 2022

Hamiltonian Monte Carlo Particle Swarm Optimizer.

Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das

CoRR, 2022

LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks.

Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha

CoRR, 2022

HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer.

Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

A Deep Learning framework for Interoperable Machine Learning.

Shakkeel Ahmed, Prakash Bisht, Ravi S. Mula, Soma S. Dhavala

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020

A framework for predicting, interpreting, and improving Learning Outcomes.

Chintan Donda, Sayan Dasgupta, Soma S. Dhavala, Keyur Faldu, Aditi Avasthi

CoRR, 2020

AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients.

Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala

CoRR, 2020

A Framework for Democratizing AI.

Shakkeel Ahmed, Ravi S. Mula, Soma S. Dhavala

CoRR, 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

Auto generation of diagnostic assessments and their quality evaluation.

Soma S. Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu, Aditi Avasthi

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2017

Emulation of Numerical Models With Over-Specified Basis Functions.

Avishek Chakraborty, Derek Bingham, Soma S. Dhavala, Carolyn C. Kuranz, R. Paul Drake, Michael J. Grosskopf, Erica M. Rutter, Ben R. Torralva, James Paul Holloway, Ryan G. McClarren, Bani K. Mallick

Technometrics, 2017