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Found 4 papers, 2 papers with code
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window
Following the success in language domain, the self-attention mechanism (transformer) is adopted in the vision domain and achieving great success recently.
Ranked #42 on
Instance Segmentation
on COCO test-dev
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Diffusion generative models have emerged as a new challenger to popular deep neural generative models such as GANs, but have the drawback that they often require a huge number of neural function evaluations (NFEs) during synthesis unless some sophisticated sampling strategies are employed.
An Automated Generation of Bootstrap Equations for Numerical Study of Critical Phenomena
In this thesis, we introduce new tools for the conformal bootstrap, autoboot and qboot.
High Energy Physics - Theory
autoboot: A generator of bootstrap equations with global symmetry
We introduce autoboot, a Mathematica program which automatically generates mixed-correlator bootstrap equations of an arbitrary number of scalar external operators, given the global symmetry group and the representations of the operators.
High Energy Physics - Theory
