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Snehanshu Saha

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Soma S. Dhavala

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Publications

2023
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  - journals/corr/abs-2302-08712
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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)
[i39]
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  - journals/corr/abs-2304-03805
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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)
[i38]
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  - journals/corr/abs-2304-12766
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Aditya Challa, Snehanshu Saha, Soma S. Dhavala:
Decoupling Quantile Representations from Loss Functions. CoRR abs/2304.12766 (2023)
2022
[j26]
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  - journals/tai/TambwekarMDS22
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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)
[j25]
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  - journals/tcbb/PrashanthSBADSA22
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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)
[j24]
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  - journals/tetci/MohapatraSCBDS22
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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)
[c31]
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  - conf/iconip/VaidyaDDSD22
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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
[i34]
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  - journals/corr/abs-2206-09333
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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)
[i33]
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  - journals/corr/abs-2206-14134
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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
[i31]
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  - journals/corr/abs-2102-06575
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Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha:
Estimation and Applications of Quantiles in Deep Binary Classification. CoRR abs/2102.06575 (2021)
2020
[c17]
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  - conf/ijcnn/SahaPABSD20
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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
[i26]
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  - journals/corr/abs-2006-09875
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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)
[i25]
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  - journals/corr/abs-2006-13307
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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)

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