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Universal Differential Equations for Scientific Machine Learning

C. Rackauckas, Y. Ma, J. Martensen, C. Warner, K. Zubov, R. Supekar, D. Skinner, A. Ramadhan, and A. Edelman. arXiv:2001.04385 cs.LG, (2021)
DOI: 10.48550/arXiv.2001.04385

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Yingbo Xia

Yingbo Li

Yuzhao Ma

Characterization of higher order modes in optical fibersY. Ma. Uni Erlangen-Nürnberg, (2009)

Jingxiang Ma

Tsie Ma

Other publications of authors with the same name

Universal Differential Equations for Scientific Machine LearningC. Rackauckas, Y. Ma, J. Martensen, C. Warner, K. Zubov, R. Supekar, D. Skinner, A. Ramadhan, and A. Edelman. arXiv:2001.04385 cs.LG, (2021)Radiometric Performance Evaluation of FY-4A/AGRI Based on Aqua/MODIS.B. Zhong, Y. Ma, A. Yang, and J. Wu. Sensors, 21 (5): 1859 (2021)Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School.Y. Ma, G. Katuka, M. Celepkolu, and K. Boyer. EDM, International Educational Data Mining Society, (2022)NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations.K. Zubov, Z. McCarthy, Y. Ma, F. Calisto, V. Pagliarino, S. Azeglio, L. Bottero, E. Luján, V. Sulzer, A. Bharambe and 4 other author(s). CoRR, (2021)Symbolic-Numeric Integration of Univariate Expressions based on Sparse Regression.S. Iravanian, C. Martensen, A. Cheli, S. Gowda, A. Jain, Y. Ma, and C. Rackauckas. CoRR, (2022)Detecting Impasse During Collaborative Problem Solving with Multimodal Learning Analytics.Y. Ma, M. Celepkolu, and K. Boyer. LAK, page 45-55. ACM, (2022)It's Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students.Y. Ma, J. Ruiz, T. Brown, K. Diaz, A. Gaweda, M. Celepkolu, K. Boyer, C. Lynch, and E. Wiebe. SIGCSE (1), page 342-348. ACM, (2022)Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.R. Anantharaman, Y. Ma, S. Gowda, C. Laughman, V. Shah, A. Edelman, and C. Rackauckas. AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions.C. Rackauckas, Y. Ma, V. Dixit, X. Guo, M. Innes, J. Revels, J. Nyberg, and V. Ivaturi. CoRR, (2018)Composing Modeling and Simulation with Machine Learning in JuliaC. Rackauckas, R. Anantharaman, A. Edelman, S. Gowda, M. Gwozdz, A. Jain, C. Laughman, Y. Ma, F. Martinuzzi, A. Pal and 3 other author(s). arxiv:2105.05946, (May 2021)

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Disambiguation of "Ma, Yingbo"

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Universal Differential Equations for Scientific Machine Learning

Please choose a person to relate this publication to

Yingbo Xia

Yingbo Li

Yuzhao Ma

Jingxiang Ma

Tsie Ma

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ma, Yingbo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Universal Differential Equations for Scientific Machine Learning

Please choose a person to relate this publication to

Yingbo Xia

Yingbo Li

Yuzhao Ma

Jingxiang Ma

Tsie Ma

Other publications of authors with the same name

Disambiguation

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URL
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Universal Differential Equations for Scientific Machine Learning