Riemannian geometry-based classification (RGBC) gained popularity in the field of brain-computer interfaces (BCIs) lately, due to its ability to deal with non-stationarities arising in ...

To address this issue, we propose a novel CL framework, the Riemannian-Euclidean Contrastive Learning Network (RECLNet). The proposed RECLNet allows direct input of polarimetric covariance matrices, ...

MoELoRA_Riemannian/dataset/ ├── scienceqa/ │ ├── science_qa.hf │ ├── scienceqa_train.json │ ├── scienceqa_test.json ...

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Riemannian manifold and Tangent space mapping is one of the efficient differentiable non-euclidean manifold techniques in analyzing higher dimensional data like EEG signals. To introspect the ...

A mathematical problem solved by Susanna Heikkilä relates to the classification of quasiregularly elliptic 4-manifolds, ...

Mathematician Adam Kucharski on the trust policymakers place in logic and why algorithms are not always the answer ...

For decades, physicists have struggled to reconcile the laws governing the very small with those that describe the vast ...