Soma S. Dhavala

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Adaptive Learning Rate

Particle Swarm Optimizer

Top Venues

IEEE Trans. Artif. Intell.

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Preyank Mota, Santonu Sarkar
quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. IEEE Trans. Artif. Intell. 5 (8) (2024)
Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha
Correcting Model Misspecification via Generative Adversarial Networks. CoRR (2023)
Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data. CoRR (2023)
Aditya Challa, Snehanshu Saha, Soma S. Dhavala
Decoupling Quantile Representations from Loss Functions. CoRR (2023)
Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. ICONIP (1) (2022)
Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
Estimation and Applications of Quantiles in Deep Binary Classification. IEEE Trans. Artif. Intell. 3 (2) (2022)
Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri
LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. CoRR (2022)
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das
Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR (2022)
Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
Estimation and Applications of Quantiles in Deep Binary Classification. CoRR (2021)
Shakkeel Ahmed, Prakash Bisht, Ravi S. Mula, Soma S. Dhavala
A Deep Learning framework for Interoperable Machine Learning. AIMLSystems (2021)
Chintan Donda, Sayan Dasgupta, Soma S. Dhavala, Keyur Faldu, Aditi Avasthi
A framework for predicting, interpreting, and improving Learning Outcomes. CoRR (2020)
Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. IJCNN (2020)
Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala
AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients. CoRR (2020)
Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. CoRR (2020)
Soma S. Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu, Aditi Avasthi
Auto generation of diagnostic assessments and their quality evaluation. EDM (2020)
Shakkeel Ahmed, Ravi S. Mula, Soma S. Dhavala
A Framework for Democratizing AI. CoRR (2020)
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
Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics 59 (2) (2017)