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04/25/2023
Segment anything, from space?
Recently, the first foundation model developed specifically for vision t...
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01/31/2023
Deep Active Learning for Scientific Computing in the Wild
Deep learning (DL) is revolutionizing the scientific computing community...
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11/25/2022
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
We propose and show the efficacy of a new method to address generic inve...
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01/29/2022
Hyperparameter-free deep active learning for regression problems via query synthesis
In the past decade, deep active learning (DAL) has heavily focused upon ...
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12/19/2021
Inverse deep learning methods and benchmarks for artificial electromagnetic material design
Deep learning (DL) inverse techniques have increased the speed of artifi...
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11/26/2021
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Numerous physical systems are described by ordinary or partial different...
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09/27/2020