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)

Auto generation of diagnostic assessments and their quality evaluation. - Soma S. Dhavala; Chirag Bhatia; Joy Bose; Keyur Faldu; Aditi Avasthi (EDM, 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 (IJCNN, 2020)

A Framework for Democratizing AI. - Shakkeel Ahmed; Ravi S. Mula; Soma S. Dhavala (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 predicting, interpreting, and improving Learning Outcomes. - Chintan Donda; Sayan Dasgupta; Soma S. Dhavala; Keyur Faldu; Aditi Avasthi (CoRR, 2020)

A Deep Learning framework for Interoperable Machine Learning. - Shakkeel Ahmed; Prakash Bisht; Ravi S. Mula; Soma S. Dhavala (AIMLSystems, 2021)

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 (ICONIP (1), 2022)

LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. - Aryaman Jeendgar; Aditya Pola; Soma S. Dhavala; Snehanshu Saha (CoRR, 2022)

Hamiltonian Monte Carlo Particle Swarm Optimizer. - Omatharv Bharat Vaidya; Rithvik Terence DSouza; Snehanshu Saha; Soma S. Dhavala; Swagatam Das (CoRR, 2022)

Estimation and Applications of Quantiles in Deep Binary Classification. - Anuj Tambwekar; Anirudh Maiya; Soma S. Dhavala; Snehanshu Saha (IEEE Trans. Artif. 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 001; Raviprasad Aduri (IEEE ACM Trans. Comput. Biol. Bioinform., 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 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

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)

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)

Decoupling Quantile Representations from Loss Functions. - Aditya Challa; Snehanshu Saha; Soma S. Dhavala (CoRR, 2023)

QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier. - Aditya Challa; Soma S. Dhavala; Snehanshu Saha (UAI, 2024)

quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. - Snehanshu Saha; Jyotirmoy Sarkar; Soma S. Dhavala; Preyank Mota; Santonu Sarkar (IEEE Trans. Artif. Intell., 2024)

Health Sentinel: An AI Pipeline For Real-time Disease Outbreak Detection. - Devesh Pant; Rishi Raj Grandhe; Vipin Samaria; Mukul Paul; Sudhir Kumar; Saransh Khanna; Jatin Agrawal; Jushaan Singh Kalra; Akhil VSSG; Satish V. Khalikar; Vipin Garg; Himanshu Chauhan; et al. (CoRR, 2025)