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Hypothesis-Driven Deep Learning for Out of Distribution Detection
Given a trained DNN and some input, we first feed the input through the DNN and compute an ensemble of OoD metrics, which we term latent responses.
Image denoising in acoustic field microscopy
Scanning acoustic microscopy (SAM) has been employed since microscopic images are widely used for biomedical or materials research.
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy
To this end, we present a learnable optical compression-decompression framework that learns content-specific features.
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope
Since the late 16th century, scientists have continuously innovated and developed new microscope types for various applications.
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