BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging

Yuchen Liu, Ziyu Jia
2/12/2026

No official code found. Best implementation: xhfei1224/BSTT (10 stars, last commit 2023-08-31).

Semantic Scholar

Code Implementations(1)

xhfei1224/BSTTCommunity70%

A Bayesian Spatial-Temporal Transformer for Sleep Staging

104Python, Jupyter NotebookSep 1, 20233 years ago

Similar Papers

DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening

100% match2026

SIMPLE: Specialized Model-Sample Matching for Domain Generalization

100% match2026

🤖 VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding

100% match1 repo3312026

Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers

100% match2026

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

100% match1 repo1632026

Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics

100% match2026

Cite this paper

@article{liu2026bstt,
  title  = {BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging},
  author = {Yuchen Liu and Ziyu Jia},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:3dabb1da0107f7b8b2974daa570e406763838e99},
  journal = {ICLR 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/3dabb1da0107f7b8b2974daa570e406763838e99.svg)](https://codeofpaper.com/paper/3dabb1da0107f7b8b2974daa570e406763838e99)

Discussion