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Update 2022-01-04-schedule.md
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jlee4176901 committed May 8, 2024
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Expand Up @@ -8,15 +8,14 @@ title: Schedule
| 08:45-09:00| | Welcome message from organisers |
| 09:00-09:30| Andreas Krause | Safe and Efficient Exploration in Bayesian Model-based Reinforcement Learning |
| 09:30-10:00| Juho Lee | Scaling Bayesian deep learning for fast and accurate inference |
| 10:00-10:30| Masashi Sugiyama | Learning under Continuous Distribution Shifts |
| 10:00-10:30| | Interactive poster session |
| 10:30-11:00| | **Coffee break** |
| 11:00-11:30| Ayoung Kim | Deep learning with a graph SLAM for robot manipulation |
| 11:30-12:00| Peter Karkus | End-to-end yet Modular Probabilistic Robot Learning |
| 11:00-11:30| Masashi Sugiyama | Learning under Sequential Distribution Shifts |
| 11:30-12:00| Sharon Li | How to Detect Out-of-Distribution Data in the Wild? Challenges, Progress, and Opportunities |
| 12:00-13:00| | **Lunch break** |
| 13:00-13:30| Sharon Li | How to Detect Out-of-Distribution Data in the Wild? Challenges, Progress, and Opportunities |
| 13:30-14:00| Niko Sünderhauf| Predictive Uncertainty Neural Radiance Fields for Robotics |
| 13:00-13:30| Ayoung Kim | Deep learning with a graph SLAM for robot manipulation |
| 13:30-14:00| Peter Karkus | End-to-end yet Modular Probabilistic Robot Learning |
| 14:00-15:00| | Contributed talks from selected paper |
| 15:00-15:30| | Interactive poster session |
| 15:00-15:30| | **Coffee break** |
| 15:30-16:00| Andy Zeng | From Words to Actions |
| 15:30-16:00| Niko Sünderhauf| Predictive Uncertainty Neural Radiance Fields for Robotics |
| 16:00-17:00| | Panel discussion |

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