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Found 6 papers, 2 papers with code
Latent Plan Transformer: Planning as Latent Variable Inference
We introduce the Latent Plan Transformer (LPT), a novel model that leverages a latent space to connect a Transformer-based trajectory generator and the final return.
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning
In this paper, we introduce a novel algorithm - the Skill-Driven Skill Recombination Algorithm (SDSRA) - an innovative framework that significantly enhances the efficiency of achieving maximum entropy in reinforcement learning tasks.
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings
Given the complex geometry of white matter streamlines, Autoencoders have been proposed as a dimension-reduction tool to simplify the analysis streamlines in a low-dimensional latent spaces.
StreamNet: A WAE for White Matter Streamline Analysis
This proposed framework takes advantage of geometry-preserving properties of the Wasserstein-1 metric in order to achieve direct encoding and reconstruction of entire bundles of streamlines.
Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
We present a geometric framework for aligning white matter fiber tracts.
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
We present SrvfNet, a generative deep learning framework for the joint multiple alignment of large collections of functional data comprising square-root velocity functions (SRVF) to their templates.
