8 citations · 20 across the 16 of their papers we have counts for
5 papers · 1 filter
FunkNN: Neural Interpolation for Functional Generation
AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot +1
Can we build continuous generative models which generalize across scales, can be evaluated at any coordinate, admit calculation of exact derivatives, and are conceptually simple? E…
Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
Valentin Debarnot, Sidharth Gupta, Konik Kothari +1
We propose a framework to jointly determine the deformation parameters and reconstruct the unknown volume in electron cryotomography (CryoET). CryoET aims to reconstruct three-dime…
Differentiable Uncalibrated Imaging
Sidharth Gupta, Konik Kothari, Valentin Debarnot +1
We propose a differentiable imaging framework to address uncertainty in measurement coordinates such as sensor locations and projection angles. We formulate the problem as measurem…
Small Transformers Compute Universal Metric Embeddings
Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanić
We study representations of data from an arbitrary metric space in the space of univariate Gaussian mixtures with a transport metric (Delon and Desolneux 2020). We de…
Manifold Rewiring for Unlabeled Imaging
Valentin Debarnot, Vinith Kishore, Cheng Shi +1
Geometric data analysis relies on graphs that are either given as input or inferred from data. These graphs are often treated as "correct" when solving downstream tasks such as gra…