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Conference and Workshop Papers
- 2024
[c5]Dazhen Gu, Jonah Smith, Adam Whitney, Omar Khatib, Natalie Rozman, Amanda Gregg, Willie Padilla, William R. Deal, Steven C. Reising:
Characterization of Microwave Blackbody with Monostatic Measurement. IGARSS 2024: 6262-6267- 2022
- [c4]Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR 2022 - [c3]Omar Khatib, Dazhen Gu, Jonah Smith, William R. Deal, Willie J. Padilla, Steven C. Reising:
Planar Metamaterial Absorbers for Calibration of Microwave Radiometers for Atmospheric Remote Sensing. IGARSS 2022: 7214-7217 - 2021
- [c2]Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof:
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c1]Simiao Ren, Willie Padilla, Jordan M. Malof:
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method. NeurIPS 2020
Informal and Other Publications
- 2024
- [i7]Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla:
Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT. CoRR abs/2404.15458 (2024) - 2023
- [i6]Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof:
Deep Active Learning for Scientific Computing in the Wild. CoRR abs/2302.00098 (2023) - [i5]Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh:
Deep Generalized Green's Functions. CoRR abs/2306.02925 (2023) - 2022
- [i4]Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof:
Hyperparameter-free deep active learning for regression problems via query synthesis. CoRR abs/2201.12632 (2022) - 2021
- [i3]Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR abs/2111.13311 (2021) - [i2]Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof:
Inverse deep learning methods and benchmarks for artificial electromagnetic material design. CoRR abs/2112.10254 (2021) - 2020
- [i1]Simiao Ren, Willie Padilla, Jordan M. Malof:
Benchmarking deep inverse models over time, and the neural-adjoint method. CoRR abs/2009.12919 (2020)
Coauthor Index
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