Scanned by

    Norton

    Norton™ Safe Web

    Structure-Aware Protein Self-Supervised Learning | Can (Sam) Chen

    Structure-Aware Protein Self-Supervised Learning | Can (Sam) Chen

    30:20 |
    Download Here

    You Might Also Like:

    Fine-tuning Flow and Diffusion Generative Models | Carles Domingo-Enrich

    Fine-tuning Flow and Diffusion Generative Models | Carles Domingo-Enrich

    1:15:53 |
    Geometric deep learning framework for de novo genome assembly | Lovro Vrček

    Geometric deep learning framework for de novo genome assembly | Lovro Vrček

    1:15:31 |
    Towards Rational Drug Design with AlphaFold 3 | Max Jaderberg

    Towards Rational Drug Design with AlphaFold 3 | Max Jaderberg

    50:28 |
    Probabilistic Inference in Language Models via Twisted Sequential Monte | Rob Brekelmans

    Probabilistic Inference in Language Models via Twisted Sequential Monte | Rob Brekelmans

    1:21:48 |
    A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems | Mathis, Joshi, and Duval

    A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems | Mathis, Joshi, and Duval

    1:21:13 |
    The Future of Chemistry is Self-Driving | Alán Aspuru-Guzik

    The Future of Chemistry is Self-Driving | Alán Aspuru-Guzik

    59:10 |
    The Continuous Language of Protein Structure | Ben Murrell

    The Continuous Language of Protein Structure | Ben Murrell

    55:56 |
    KAN: Kolmogorov-Arnold Networks | Ziming Liu

    KAN: Kolmogorov-Arnold Networks | Ziming Liu

    1:34:56 |
    ML4DD Summer School | 2024 Recap

    ML4DD Summer School | 2024 Recap

    1:42 |
    Day 1 - Intro to ML in Drug Discovery: Principles & Applications | Bharath Ramsundar

    Day 1 - Intro to ML in Drug Discovery: Principles & Applications | Bharath Ramsundar

    1:05:54 |
    MolGPS - A Foundational GNN for Molecular Property Prediction

    MolGPS - A Foundational GNN for Molecular Property Prediction

    1:47 |
    Contextual AI Models for Single-cell Protein Biology | Michelle Li

    Contextual AI Models for Single-cell Protein Biology | Michelle Li

    32:00 |
    Generalization in diffusion models from geometry-adaptive harmonic representation | Zahra Kadkhodaie

    Generalization in diffusion models from geometry-adaptive harmonic representation | Zahra Kadkhodaie

    1:35:27 |
    Discrete Flow Matching | Andrew Campbell

    Discrete Flow Matching | Andrew Campbell

    1:34:17 |
    Approximately Piecewise E(3) Equivariant Point Networks | Matan Atzmon

    Approximately Piecewise E(3) Equivariant Point Networks | Matan Atzmon

    1:28:17 |
    Introducing SAFE: A New Framework for Molecular Design

    Introducing SAFE: A New Framework for Molecular Design

    1:17 |
    MoML 2024

    MoML 2024

    7:57:37 |
    Recap: Valence Labs ICML 2023 Launch

    Recap: Valence Labs ICML 2023 Launch

    1:39 |
    Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure | Amy X. Lu

    Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure | Amy X. Lu

    1:27:22 |
    Local Search GFlowNets | Minsu Kim

    Local Search GFlowNets | Minsu Kim

    50:44 |