132 citations · 134 across the 6 of their papers we have counts for
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Inverse problems with diffusion models: MAP estimation via mode-seeking loss
Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
A pre-trained unconditional diffusion model, combined with posterior sampling or maximum a posteriori (MAP) estimation techniques, can solve arbitrary inverse problems without task…
Revisiting Score Function Estimators for -Subset Sampling
Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
Are score function estimators an underestimated approach to learning with -subset sampling? Sampling -subsets is a fundamental operation in many machine learning tasks that i…
Indirectly Parameterized Concrete Autoencoders
Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha +7
Feature selection is a crucial task in settings where data is high-dimensional or acquiring the full set of features is costly. Recent developments in neural network-based embedded…