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Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.

G. Spell, S. Ren, L. Collins, and J. Malof. AAAI, page 9874-9881. AAAI Press, (2023)

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Simião Gabriel Balane

Zhongliang Ren

Jianxin Ren

Hongming Ren

Ling Ren

Other publications of authors with the same name

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials.Y. Deng, J. Dong, S. Ren, O. Khatib, M. Soltani, V. Tarokh, W. Padilla, and J. Malof. NeurIPS Datasets and Benchmarks, (2021)Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.J. Dong, S. Ren, Y. Deng, O. Khatib, J. Malof, M. Soltani, W. Padilla, and V. Tarokh. ICLR, OpenReview.net, (2022)Inverse deep learning methods and benchmarks for artificial electromagnetic material design.S. Ren, A. Mahendra, O. Khatib, Y. Deng, W. Padilla, and J. Malof. CoRR, (2021)Hyperparameter-free deep active learning for regression problems via query synthesis.S. Ren, Y. Deng, W. Padilla, and J. Malof. CoRR, (2022)Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.G. Spell, S. Ren, L. Collins, and J. Malof. AAAI, page 9874-9881. AAAI Press, (2023)Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis.S. Ren, W. Hu, K. Bradbury, D. Harrison-Atlas, L. Valeri, B. Murray, and J. Malof. CoRR, (2022)Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.G. Spell, S. Ren, L. Collins, and J. Malof. CoRR, (2022)Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.J. Dong, S. Ren, Y. Deng, O. Khatib, J. Malof, M. Soltani, W. Padilla, and V. Tarokh. CoRR, (2021)Segment anything, from space?S. Ren, F. Luzi, S. Lahrichi, K. Kassaw, L. Collins, K. Bradbury, and J. Malof. WACV, page 8340-8350. IEEE, (2024)Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning.S. Ren, J. Malof, R. Fetter, R. Beach, J. Rineer, and K. Bradbury. ISPRS Int. J. Geo Inf., 11 (4): 222 (2022)

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Disambiguation of "Ren, Simiao"

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Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.

Please choose a person to relate this publication to

Simião Gabriel Balane

Zhongliang Ren

Jianxin Ren

Hongming Ren

Ling Ren

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ren, Simiao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.

Please choose a person to relate this publication to

Simião Gabriel Balane

Zhongliang Ren

Jianxin Ren

Hongming Ren

Ling Ren

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.