1. 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 ↗
  2. 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 ↗
  3. 25 Aug 2026

    Hybrid quantum fusion network for multimodal cardiac abnormality detection - Nature

    ... representation fusion. ECG ... Keywords. Quantum machine learning · Electrocardiogram · Phonocardiogram · Cross-source fusion · Representation learning ...

    www.nature.com ↗
  4. 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 ↗
  5. 24 Aug 2026

    Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition

    The second is a compact convolutional neural network (CNN) using log-mel spectrogram inputs, enabling representation learning directly from time- ...

    journals.plos.org ↗
  6. 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 ↗
  7. 24 Aug 2026

    Multi-Resolution Enhancement Improves Full-Spectrum Neural Representations

    The problem is closely related to what researchers call spectral bias. During training, many neural networks tend to learn slowly changing patterns ...

    bioengineer.org ↗
  8. 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 ↗
  9. 18 Aug 2026

    Cerebellum-inspired neural network of supervised learning with tensor-based sparse coding ...

    Under the Marr-Ito-Albus framework, the cerebellum performs supervised learning in Purkinje cells upon the unsupervised sparse representations ...

    journals.plos.org ↗
  10. 17 Aug 2026

    Community-driven network embedding via two-stage community structure refinement

    Community structure provides important mesoscopic information for network representation learning, yet most community-aware embedding methods use ...

    www.nature.com ↗
  11. 15 Aug 2026

    Rare Failures Test AI Explanation Reliability - AI CERTs News

    Mechanistic interpretability promises deeper causal tracing inside networks, yet tooling lags demand. Cross-domain replication studies should test ...

    www.aicerts.ai ↗
  12. 12 Aug 2026

    Training neural networks on mechanistic simulations improves scientific inference - Nature

    Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning.

    www.nature.com ↗
  13. 12 Aug 2026

    KU lands grant funding to boost Indigenous representation in news media using character ...

    The funding will also provide training and monthly meetings with leaders from the Solutions Journalism Network. “They teach student-led outlets what ...

    news.ku.edu ↗
Sources

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