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Phillip Schniter

2 accepted papers

2024

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

ECCV 2024poster

"In imaging inverse problems, one seeks to recover an image from missing/corrupted measurements. Because such problems are ill-posed, there is great motivation to quantify the uncertainty induced by the measurement-and-recovery process. Motivated by applications where the recovered image is used for…

2018

prDeep: Robust Phase Retrieval with a Flexible Deep Network

ICML 2018oral

Phase retrieval algorithms have become an important component in many modern computational imaging systems. For instance, in the context of ptychography and speckle correlation imaging, they enable imaging past the diffraction limit and through scattering media, respectively. Unfortunately, traditio…