Embedded Files
9:30 - 10:00
Registration & Welcome Refreshments at Atrium, Level 1, Merchant Venturers Building (MVB)
10:00 - 10:30
Prof. Tom Dietterich
Title: Reinforcement Learning with Exogeneous States and Rewards
10:30 - 11:00
Prof. Peter Flach
Title: Why We Need Measurement Theory for Machine Learning
11:00 - 11:10
Dr. Telmo de Menezes e Silva Filho
Title: Machine Learning Evaluation in the Absence of Labels
11:10 - 11:20
Dr. Mengyan Zhang
Title: TBC
11:20 - 11:30
Dr. Xiyue Zhang
Title: Advances and Challenges for Neural Network Certification
11:30 - 13:00
Poster session and lunch
13:00 - 13:30
Prof. José Hernández-Orallo
Title: General Scales Unlock AI Evaluation with Explanatory and Predictive Power
13:30 - 14:00
Prof. Tilo Burghardt
Title: TBC
14:00 - 14:10
Dr. Nan Lu
Title: TBC
14:10 - 14:20
Mr. Sam Pollard
Title: A Video Is Not Worth a Thousand Words
14:20 - 14:30
Mr. Enrique Crespo Fernandez
Title: Continual learning and refinement of causal models through dynamic predicate invention
14:30 - 14:40
Dr. Isabella Degen
Title: Clustering Results Are Unfalsifiable Without Structure-Specific Validation
14:40 - 15:00
Coffee break
15:00 - 16:00
Panel Discussion (led by Prof. Thomas Dietterich): The impact of AI on the future of science
Guiding questions include:
• If we have a 10x increase in the production of results in AI, how will we cope?
• How can we ensure that scientific results are real and not hallucinated?
• Can we find ways that people can internalize the state of knowledge within an area?
• Is the 10-20 page scientific paper still the right medium for communicating results? Is there still a role for conferences and journals?
Page updated
Google Sites
Report abuse