1. 11 Sep 2026

    A Site‐Aware Representation Learning Framework For Unified Molecular Interaction ...

    We apply explicit supervised learning to the LSQM module via this binding-site prediction task and reinforce the transition from attention-driven ...

    advanced.onlinelibrary.wiley.com ↗
  2. 11 Sep 2026

    A Site‐Aware Representation Learning Framework For Unified Molecular Interaction ...

    With binding-site supervision, MolDBG prioritizes interaction-critical residues before learning drug-target representations, reducing false positives ...

    advanced.onlinelibrary.wiley.com ↗
  3. 11 Sep 2026

    A Site‐Aware Representation Learning Framework For Unified Molecular Interaction ...

    Many sequence-based affinity and design methods rely on global target representations without explicitly modeling binding regions, leading to site- ...

    advanced.onlinelibrary.wiley.com ↗
  4. 11 Sep 2026

    Track 1: AI and Data-Driven Decision Making - IIMP

    Overall, the results indicate that unsupervised representation learning can be applied to porphyry mineral systems and may complement existing ...

    iimp.org.pe ↗
  5. 11 Sep 2026

    Foundation Models and Agentic AI: Multimodal Understanding, Adaptive Workflows, and ...

    Contributions are encouraged in areas such as multimodal representation learning, vision language understanding, video reasoning, signal-language ...

    link.springer.com ↗
  6. 09 Sep 2026

    PhD Seminar: Automatic Recognition of Disordered Speech: Domain Generalization ...

    SSL is investigated as a representation learning framework that ... learning shared representations across the training tasks. Finally, meta ...

    uwaterloo.ca ↗
  7. 09 Sep 2026

    Former OpenAI researcher Yonglong Tian named Tencent Hunyuan multimodal head

    ... representation learning and generative models at Google Research, Google DeepMind and OpenAI. His appointment follows Tencent's July decision to ...

    technode.com ↗
  8. 09 Sep 2026

    Resolution-dependent self-supervised transfer in chest radiograph classification - Nature

    Self-supervised learning (SSL) has improved visual representation learning, but its value in chest radiography remains uncertain.

    www.nature.com ↗
  9. 09 Sep 2026

    Principal bundle geometry of qualia: Understanding the quality of consciousness from symmetry

    Equivariant representation learning via class-pose decomposition. In: F Ruiz, J Dy, and J-W van de Meent, editors. Proceedings of The 26th ...

    academic.oup.com ↗
  10. 07 Sep 2026

    CNN-Enhanced Hybrid Spectral Comparison Using HQI in a Learned Feature Space

    ... representations across all training spectra: T = (1/M) Σ i=1 MY i [6]. where ... Raman Spectrum Matching with Contrastive Representation Learning.

    www.spectroscopyonline.com ↗
  11. 06 Sep 2026

    Unsupervised Representation Learning in Deep Reinforcement Learning: A Review - arXiv

    Given the observation stream, we want to (i) learn low-dimensional state representations that preserve the relevant properties of the world and then ( ...

    arxiv.org ↗
  12. 05 Sep 2026

    A Machine Learning-Based Framework for Discovering Huntington's Disease Stages

    ... learning framework based on dynamic graph representation learning to capture temporal relationships within and across patients from longitudinal ...

    ui.adsabs.harvard.edu ↗
  13. 04 Sep 2026

    Weakly supervised causal representation learning - arXiv

    Abstract. Learning high-level causal representations together with a causal model from unstructured low-level data such as pixels is impossible ...

    arxiv.org ↗
  14. 03 Sep 2026

    PCIPG: A comprehensive framework for protein complex identification based ... - Research journals

    Third, representation-learning or matrix-factorization-based methods ... Inductive representation learning on large graphs. Adv Neural Inform ...

    journals.plos.org ↗
  15. 03 Sep 2026

    TMU AI Improves CT Decisions in the ER - QS GEN

    ... representation learning from noisy narrative data. This enables the model to extract meaningful diagnostic information from incomplete or irregular ...

    qs-gen.com ↗
  16. 03 Sep 2026

    Relation-aware multimodal knowledge graph learning for drug–drug interaction prediction

    ... demonstrate that combining multimodal drug representation learning with relation-aware knowledge graph modeling is effective for DDI prediction.

    www.nature.com ↗
  17. 02 Sep 2026

    Development and external validation of a contrastive learning foundation model for ECG ...

    ... representation learning across a broad range of cardiovascular and outcome prediction tasks. More broadly, this work helps to clarify the role of ...

    www.thelancet.com ↗
  18. 02 Sep 2026

    Foundation Models for Blockchain Intelligence - TRM Labs

    This combination of public chain scale, proprietary attribution context, and transformer-based representation learning can be transformative for ...

    www.trmlabs.com ↗
  19. 01 Sep 2026

    Construction of self-supervised learning models for educational scenarios based on data ...

    The framework integrates masked educational interaction reconstruction, contrastive representation learning, temporal interaction-gap modeling, and ...

    www.nature.com ↗
  20. 01 Sep 2026

    A multi-center otoscopy study with external paired-cohort evaluation | PLOS One

    ... representation learning. Materials and methods. Data. To evaluate model generalizability and prevent data leakage, the training, validation, and ...

    journals.plos.org ↗
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Agentic AI — Google

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Mechanistic Interpretability — Google

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33 items Polled 22 Sep, 03:06 UTC 200

RLHF — Google

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