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Rutgers SAS MPS-DLS AI/ML/Data Science Workshop

13 January 2023
US/Eastern timezone

Contribution List

9 out of 9 displayed
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  1. 2. Overview of AI/ML/DS Research in Computer Science
    Kostas Bekris (Rutgers University)
    13/01/2023, 09:15
  2. 8. Learning discrete and complex structure from data: MCMC, performance guarantee, and interpretability
    Min Xu (Statistics)
    13/01/2023, 09:45
  3. 9. Causality, uncertainty and efficient exploration
    Tirthankar Dasgupta (Statistics)
    13/01/2023, 10:00
  4. 5. Applications of Machine Learning to Pure Mathematics
    Alex Kontorovich (Mathematics)
    13/01/2023, 10:15
  5. 4. Overview of Earth and Planetary Sciences and Data Science
    Lujendra Ojha (Earth and Planetary Sciences)
    13/01/2023, 11:00
  6. 1. Structure-Aware Machine Learning for Protein Design
    Sagar Khare (Chemistry and Chemical Biology)
    13/01/2023, 11:15
  7. 3. Data Science and Machine Learning in Genomics
    Jin Xing (DLS - Genetics)
    13/01/2023, 11:30
  8. 7. A Brief Overview of Machine Learning Applications to Fundamental Physics
    David Shih
    13/01/2023, 11:45
  9. 6. Unsupervised inference of graph properties with random walks
    Alex Morozov (Physics & Astronomy)
    13/01/2023, 12:00