Willie Padilla

According to our database, Willie Padilla authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT.

Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla

CoRR, 2024

Characterization of Microwave Blackbody with Monostatic Measurement.

Dazhen Gu, Jonah Smith, Adam Whitney, Omar Khatib, Natalie Rozman, Amanda Gregg, Willie Padilla, William R. Deal, Steven C. Reising

Proceedings of the IGARSS 2024, 2024

2023

Deep Generalized Green's Functions.

Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh

CoRR, 2023

Deep Active Learning for Scientific Computing in the Wild.

Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof

CoRR, 2023

2022

Hyperparameter-free deep active learning for regression problems via query synthesis.

Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof

CoRR, 2022

Planar Metamaterial Absorbers for Calibration of Microwave Radiometers for Atmospheric Remote Sensing.

Omar Khatib, Dazhen Gu, Jonah Smith, William R. Deal, Willie J. Padilla, Steven C. Reising

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.

Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Inverse deep learning methods and benchmarks for artificial electromagnetic material design.

Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof

CoRR, 2021

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials.

Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method.

Simiao Ren, Willie Padilla, Jordan M. Malof

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020