1. 01 Sep 2026

    New AI approaches to help understand complex biological data - Phys.org

    In the first paper, "VBA: Vector Bundle Attention for intrinsically geometric representation learning," the researchers introduce Vector Bundle ...

    phys.org ↗
  2. 01 Sep 2026

    AI Breakthroughs Unravel Complex Biological Data - Mirage News

    The studies, VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning and Dynamic Fractal Mamba: A Neural Renormalization ...

    www.miragenews.com ↗
  3. 01 Sep 2026

    Geo-Hete-HyperGNN as a prior-free molecular hypergraph representation learning strategy

    Molecular representation learning is a cornerstone of AI-driven chemical discovery. However, most molecular hypergraph models define hyperedges ...

    www.nature.com ↗
  4. 30 Aug 2026

    Explainable and Causal AI in Computational Life Sciences

    ... representation learning, and theoretical advances in explainable and causal AI. Biological, medical, and health data analysis: Explainable and ...

    spj.science.org ↗
  5. 29 Aug 2026

    Mental bootstrapping enables human-level concept learning in self-supervised deep models

    ... Learning Representations (ICLR, 2021). Google ... Bengio, A. Courville, P. Vincent, Representation learning: A review and new perspectives.

    www.science.org ↗
  6. 28 Aug 2026

    MD-VAE Embeds Concepts in Variational Autoencoders Using Multiple Decoders

    ... representation learning known as disentanglement. In an ideal disentangled representation, separate components of a neural network's latent code ...

    bioengineer.org ↗
  7. 28 Aug 2026

    Modeling and optimizing trust-mediated influence in temporal heterogeneous networks | PLOS One

    In: ICML Workshop on Graph Representation Learning. 2020. 9. Chen W ... Dyrep: Learning representations over dynamic graphs. In: 2019. 17 ...

    journals.plos.org ↗
  8. 27 Aug 2026

    Causal trust aware federated multi agent reinforcement learning for 6G edge networks

    ... representation learning module that leverages structural causal models to discern invariant causal relationships from high-dimensional network ...

    www.nature.com ↗
  9. 27 Aug 2026

    AI Optimizes Air Defense Scheduling with Hybrid Graph Learning and - Bioengineer.org

    ... representation. In this case, nodes can represent targets and ... They show that a particular combination of graph representation learning ...

    bioengineer.org ↗
  10. 26 Aug 2026

    Scaling multimodal materials representation learning with synthetic narratives - Nature

    Artificial intelligence is increasingly applied to inverse materials design, including crystals and molecules. For molecular systems, multimodal ...

    www.nature.com ↗
  11. 26 Aug 2026

    Approaching an unknown communication system by latent space exploration and causal inference

    ... learning interpretability methods, as well as disentangled representation learning (DRL) [33]. In terms of the former, partial dependence plots ...

    royalsocietypublishing.org ↗
  12. 25 Aug 2026

    Navigating the Materials Space with Machine-Learning-Generated Electronic Fingerprints

    Lenssen, Fast graph representation learning with PyTorch geometric, arXiv:1903.02428. G. Kresse and J. Hafner, Ab initio molecular dynamics for ...

    journals.aps.org ↗
  13. 25 Aug 2026

    Motor imagery classification in heterogeneous settings for brain-computer interface applications

    In recent years, DL and self-supervised approaches have significantly advanced EEG representation learning and cross-dataset generalization ...

    www.sciencedirect.com ↗
  14. 25 Aug 2026

    AFENet: Attention-driven feature evolution network for precise polyp segmentation

    Specifically, a novel Co-attentive Representation Learning (CaRL) module is designed to replace traditional skip connections, performing co-attention- ...

    www.sciencedirect.com ↗
  15. 24 Aug 2026

    Climate-Aware Self-Retrospective Representation Learning for Spatio-Temporal Epidemic ... - MDPI

    ... Representation Learning network for stable and meteorological-context-aware spatio-temporal epidemic forecasting. CASRL first employs a Self ...

    www.mdpi.com ↗
  16. 22 Aug 2026

    Enhancing self-supervised representation learning through lightweight learnable data augmentation

    ... Learning Machines (ELM) for self-supervised visual representation learning. The proposed module predicts image-dependent transformation parameters ...

    www.nature.com ↗
  17. 21 Aug 2026

    Interaction topology theory deciphers multiscale codes of MOF-like materials - Science

    Recent deep-learning developments have further expanded the landscape of MOF representation learning, including interpretable graph-transformer ...

    www.science.org ↗
  18. 20 Aug 2026

    A sequence-based deep learning framework (PepInter) for protein–peptide interaction ... - Nature

    A sequence-based deep learning framework (PepInter) for protein–peptide interaction representation learning with pretrained protein language models.

    www.nature.com ↗
  19. 20 Aug 2026

    Online game player churn prediction based on multiplex social influence through network embedding

    Network embedding (also known as network representation learning) aims to learn node embeddings in low-dimensional latent space, preserving multi ...

    journals.plos.org ↗
  20. 20 Aug 2026

    Self-Supervised Representation Learning for Cold-Start Weekly Demand Forecasting

    Self-supervised learning (SSL) has been proposed as a way to learn transferable representations before supervised forecasting. This study evaluates ...

    papers.ssrn.com ↗
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