Vector Institute ＆ RIKEN AIP Joint Symposium on Machine Learning and Artificial Intelligence

We will hold a joint symposium with Vector Institute as follows;

Date and Time:
March 29, 2023: 8:00 am - 11:00 am (JST)
March 30, 2023: 7:30 am - 10:15 am (JST)

Time Schedule

【March 29: 8:00 am - 11:00 am (JST)】

8:00 -8:05
Speaker: Graham Taylor, Vector Institute
Title: Introduction of Vector Institute for Artificial Intelligence
8:05-8:10
Speaker: Masashi Sugiyama, RIKEN AIP
Title: Introduction of RIKEN Center for Advanced Intelligence Project
8:10-8:35
Speaker: Jeff Clune, Vector Institute
Title: AI-Generating Algorithms (AI-GAs) and Video Pre-Training (VPT)
8:35-9:00
Speaker: Ichiro Takeuchi, RIKEN AIP
Title: P-values and confidence intervals for deep neural networks
9:00-9:25
Speaker: Shai Ben-David, Vector Institute
Title: Quantifying the confidence of label prediction on a given test instance

9:25-9:40 Break Time

9:40-10:05
Speaker: Wei Huang, RIKEN AIP
Title: Explainable deep learning: an over-parameterization perspective
10:05-10:30
Speaker: Amir-massoud Farahmand, Vector Institute
Title: Accelerated Planning and Reinforcement Learning Algorithms
10:30-10:55
Speaker: Lin Gu, RIKEN AIP
Title: Challenges and opportunities from medical imaging to general application
10:55-11:00 Closing

【March 30: 7:30 am - 10:15 am (JST)】

7:30am - 7:55am
Speaker: Rahul G. Krishnan, Vector Institute
Title: A learning based hypothesis test for covariate shift
7:55am - 8:20am
Speaker: Jingfeng Zhang, RIKEN AIP
Title: Application of adversarial robustness
8:20am - 8:45am
Speaker: Daniel Roy, Vector Institute
Title: Replacing assumptions in sequential decision making with adaptivity

8:45am - 9:00am Break Time

9:00am - 9:25am
Speaker: Eren Mehmet Kiral, RIKEN AIP
Title: Bayesian learning using transformations by a Lie group
9:25am - 9:50am
Speaker: Alireza Makhzani, Vector Institute
Title: Action Matching: Learning Stochastic Dynamics from Samples
9:50am - 10:15am
Speaker: Qibin Zhao, RIKEN AIP
Title: Efficient machine learning with tensor networks
*10:15am * Closing