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Soma S. Dhavala
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Journal Articles
- 2022
- [j4]Anuj Tambwekar
, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
:
Estimation and Applications of Quantiles in Deep Binary Classification. IEEE Trans. Artif. Intell. 3(2): 275-286 (2022) - [j3]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): 3553-3563 (2022) - [j2]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): 329-340 (2022) - 2017
- [j1]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): 153-164 (2017)
Conference and Workshop Papers
- 2022
- [c4]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: 212-223 - 2021
- [c3]Shakkeel Ahmed, Prakash Bisht, Ravi S. Mula, Soma S. Dhavala:
A Deep Learning framework for Interoperable Machine Learning. AIMLSystems 2021: 23:1-23:7 - 2020
- [c2]Soma S. Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu, Aditi Avasthi:
Auto generation of diagnostic assessments and their quality evaluation. EDM 2020 - [c1]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: 1-8
Informal and Other Publications
- 2023
- [i10]Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota:
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data. CoRR abs/2302.08712 (2023) - [i9]Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha:
Correcting Model Misspecification via Generative Adversarial Networks. CoRR abs/2304.03805 (2023) - [i8]Aditya Challa, Snehanshu Saha, Soma S. Dhavala:
Decoupling Quantile Representations from Loss Functions. CoRR abs/2304.12766 (2023) - 2022
- [i7]Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha:
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. CoRR abs/2206.09333 (2022) - [i6]Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das
:
Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR abs/2206.14134 (2022) - 2021
- [i5]Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha:
Estimation and Applications of Quantiles in Deep Binary Classification. CoRR abs/2102.06575 (2021) - 2020
- [i4]Shakkeel Ahmed, Ravi S. Mula, Soma S. Dhavala:
A Framework for Democratizing AI. CoRR abs/2001.00818 (2020) - [i3]Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala:
AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients. CoRR abs/2006.09875 (2020) - [i2]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 abs/2006.13307 (2020) - [i1]Chintan Donda, Sayan Dasgupta, Soma S. Dhavala, Keyur Faldu, Aditi Avasthi:
A framework for predicting, interpreting, and improving Learning Outcomes. CoRR abs/2010.02629 (2020)
Coauthor Index
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