22 citations · 48 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Decoding complexity: how machine learning is redefining scientific discovery
Ricardo Vinuesa, Paola Cinnella, Jean Rabault +10
As modern scientific instruments generate vast amounts of data and the volume of information in the scientific literature continues to grow, machine learning (ML) has become an ess…
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…