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Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.

K. Yeo, D. Grullon, F. Sun, D. Boning, and J. Kalagnanam. SIAM J. Sci. Comput., 43 (2): A1305-A1335 (2021)

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Jayant Kumar

Jayant Trivedi

Jayant Vishnu Damle

Aniruddha Jayant Deshpande

Jayant Vishnu Damle

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Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.K. Yeo, D. Grullon, F. Sun, D. Boning, and J. Kalagnanam. SIAM J. Sci. Comput., 43 (2): A1305-A1335 (2021)Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network.K. Yeo, D. Grullon, F. Sun, D. Boning, and J. Kalagnanam. CoRR, (2020)Special Issue: 2002 Franz Edelman Award for Achievement in Operations Research and the Management Sciences: Combinatorial and Quantity-Discount Procurement Auctions Benefit Mars, Incorporated and Its Suppliers.G. Hohner, J. Rich, E. Ng, G. Reid, A. Davenport, J. Kalagnanam, H. Lee, and C. An. Interfaces, 33 (1): 23-35 (2003)Finite-sum smooth optimization with SARAH.L. Nguyen, M. van Dijk, D. Phan, P. Nguyen, T. Weng, and J. Kalagnanam. Comput. Optim. Appl., 82 (3): 561-593 (2022)When Does Stochastic Gradient Algorithm Work Well?L. Nguyen, N. Nguyen, D. Phan, J. Kalagnanam, and K. Scheinberg. CoRR, (2018)DQA: Scalable, Automated and Interactive Data Quality Advisor.S. Shrivastava, D. Patel, A. Bhamidipaty, W. Gifford, S. Siegel, V. Ganapavarapu, and J. Kalagnanam. IEEE BigData, page 2913-2922. IEEE, (2019)Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets.Z. Ren, Z. Zhou, and J. Kalagnanam. IEEE Control. Syst. Lett., (2022)Phase identification in smart grids.V. Arya, D. Seetharam, S. Kalyanaraman, K. Dontas, C. Pavlovski, S. Hoy, and J. Kalagnanam. SmartGridComm, page 25-30. IEEE, (2011)Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management.P. Harsha, A. Jagmohan, J. Kalagnanam, B. Quanz, und D. Singhvi. CoRR, (2021)Regression Optimization for System-level Production Control.D. Phan, L. Nguyen, P. Murali, N. Pham, H. Liu, und J. Kalagnanam. ACC, Seite 5023-5028. IEEE, (2021)

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Disambiguation of "Kalagnanam, Jayant R."

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Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.

Please choose a person to relate this publication to

Jayant Kumar

Jayant Trivedi

Jayant Vishnu Damle

Aniruddha Jayant Deshpande

Jayant Vishnu Damle

Other publications of authors with the same name

Disambiguierung

BibSonomy

Disambiguation of "Kalagnanam, Jayant R."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.

Please choose a person to relate this publication to

Jayant Kumar

Jayant Trivedi

Jayant Vishnu Damle

Aniruddha Jayant Deshpande

Jayant Vishnu Damle

Other publications of authors with the same name

Disambiguierung

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.