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06/05/2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
We present a novel framework to overcome the limitations of equivariant ...
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07/06/2022
Pure Transformers are Powerful Graph Learners
We show that standard Transformers without graph-specific modifications ...
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04/06/2022
Adaptive warped kernel estimation for nonparametric regression with circular responses
In this paper, we deal with nonparametric regression for circular data, ...
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06/21/2020
Statistical deconvolution of the free Fokker-Planck equation at fixed time
We are interested in reconstructing the initial condition of a non-linea...
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12/03/2019