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

Contribution List

2. Overview of AI/ML/DS Research in Computer Science

Kostas Bekris (Rutgers University)

13/01/2023, 09:15

Talks

8. Learning discrete and complex structure from data: MCMC, performance guarantee, and interpretability

Min Xu (Statistics)

13/01/2023, 09:45

Talks

9. Causality, uncertainty and efficient exploration

Tirthankar Dasgupta (Statistics)

13/01/2023, 10:00

Talks

5. Applications of Machine Learning to Pure Mathematics

Alex Kontorovich (Mathematics)

13/01/2023, 10:15

Talks

4. Overview of Earth and Planetary Sciences and Data Science

Lujendra Ojha (Earth and Planetary Sciences)

13/01/2023, 11:00

Talks

1. Structure-Aware Machine Learning for Protein Design

Sagar Khare (Chemistry and Chemical Biology)

13/01/2023, 11:15

Talks

3. Data Science and Machine Learning in Genomics

Jin Xing (DLS - Genetics)

13/01/2023, 11:30

Talks

7. A Brief Overview of Machine Learning Applications to Fundamental Physics

David Shih

13/01/2023, 11:45

Talks

6. Unsupervised inference of graph properties with random walks

Alex Morozov (Physics & Astronomy)

13/01/2023, 12:00

Talks