Representation learning: a tree of 33 publications The trunk is Representation learning. Its 7 limbs are research areas, sub-branches are topics, and every leaf is one publication, coloured by type. Papers run from oldest near the trunk to newest at each branch tip.
Representation learning 33 papers on 7 branches. One leaf per paper, oldest to newest toward each tip.
  • Journal
  • Conference
  • Workshop
  • Abstract
  • Software
  • Report
  1. Preprocessing
    1. EEGPrep P37, Journal of Neural Engineering 2026 (submitted)
    2. From EEG Cleaning to Decoding P1, EUSIPCO 2026 (accepted)
    3. Artifact Removal for EEG Age Prediction P40, ICASSP 2027 (submitted)
  2. Data
    1. Data resources and platforms
      1. Alljoined EEG-to-Image Dataset P10, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2024
      2. EEGDash Corpus P41, MLESP / BIBM 2026 (accepted)
      3. EEGDash P23, Database (Oxford University Press) 2026 (submitted)
    2. Data generation
      1. Synthetic Sleep EEG with Latent Diffusion P12, NeurIPS DGM4H 2023
  3. Data Alignment
    1. Cross-session and cross-subject alignment
      1. Independent Vector Analysis for MI P14, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023
      2. Euclidean Alignment + Augmentation P9, EUSIPCO 2024
      3. Systematic Euclidean Alignment Evaluation P11, Journal of Neural Engineering 2024
      4. Subject-Specific Aligned EEG Encoders P33, Scientific Reports 2026
    2. Online adaptation
      1. Continual Online EEG MI Fine-Tuning P5, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2025
  4. Models
    1. Decoding architectures
      1. CONCERTO Connectivity Graph Network P15, Journée CORTICO 2023
      2. Holographic EEG Multi-View P16, Journée CORTICO 2023
      3. Sleep-Energy P17, IEEE Access 2023
      4. Augmented SPDNet for Motor Imagery P26, Soph.I.A Summit 2023
      5. EEG Conformer for P300 P25, Preprint (HAL) 2024
      6. Geometric Neural Network on Phase Space P7, Journal of Neural Engineering 2025
      7. Neuron-Level Architecture Growth P38, ICASSP 2027 (submitted)
    2. Foundation and transfer models
      1. Cognitive Task Structure with Transfer Learning P13, NeurIPS AI for Science 2023
      2. General-Purpose Brain Foundation Models P6, NeurIPS TSALM 2024
      3. EEG Foundation Challenge P3, Conference on Neural Information Processing Systems (NeurIPS) 2025
      4. Cognitive Task Structure (journal) P19, In re-submission queue 2025 (under review)
      5. Masking Geometry for EEG Foundation Models P34, Manuscript 2026 (submitted)
      6. Channel Adaptation for EEG Foundation Models P24, MLESP / BIBM 2026 (accepted)
      7. OpenEEG-Bench P2, EUSIPCO 2026
  5. Benchmark and Evaluation
    1. Best Model Depends on Evaluation P8, Annual Computational Neuroscience Meeting (CNS) 2024
    2. Largest MOABB Reproducibility Study P18, Preprint 2025 (under review)
    3. Scaling Laws for EEG Decoding P39, ICASSP 2027 (submitted)
  6. Clinical
    1. Interpretable MEG Differential Diagnosis P4, Heliyon 2026
  7. Software
    1. Braindecode P21, Zenodo 2023
    2. MOABB P20, Zenodo 2024
    3. SPD Learn P22, JMLR OST 2026 (under review)