Soma S. Dhavala

Orcid: 0000-0002-6354-8992

According to our database1, Soma S. Dhavala authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method.
IEEE Trans. Artif. Intell., August, 2024

2023
Decoupling Quantile Representations from Loss Functions.
CoRR, 2023

Correcting Model Misspecification via Generative Adversarial Networks.
CoRR, 2023

Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data.
CoRR, 2023

2022
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Estimation and Applications of Quantiles in Deep Binary Classification.
IEEE Trans. Artif. Intell., 2022

Hamiltonian Monte Carlo Particle Swarm Optimizer.
CoRR, 2022

LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks.
CoRR, 2022

HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
A Deep Learning framework for Interoperable Machine Learning.
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.
CoRR, 2020

AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients.
CoRR, 2020

A Framework for Democratizing AI.
CoRR, 2020

LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Auto generation of diagnostic assessments and their quality evaluation.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2017
Emulation of Numerical Models With Over-Specified Basis Functions.
Technometrics, 2017


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