1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair, Elias Nehme, Tomer Michaeli
In ill-posed inverse problems, it is commonly desirable to obtain insight into the full spectrum of plausible solutions, rather than extracting only a single reconstruction. Inform…
cs.CV2023★ 1 cited
Uncertainty Quantification via Neural Posterior Principal Components
Elias Nehme, Omer Yair, Tomer Michaeli
Uncertainty quantification is crucial for the deployment of image restoration models in safety-critical domains, like autonomous driving and biological imaging. To date, methods fo…