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📍Max Planck Institute for Intelligent Systems (Lecture Hall)
📍Max Planck Institute for Intelligent Systems (Lecture Hall)
Max-Planck-Ring 4, 72076 Tübingen
Max-Planck-Ring 4, 72076 Tübingen
Please, take into account that this program is still subject to changes and updates.
Because of this, we kindly ask you to check this website regularly.
Thursday, 20th October
9:15 – 09:30
9:30 – 10:20
10:30 – 11:20
11:30 – 12:20
12:20 – 13:30
13:30 – 14:20
14:30 – 15:20
15:20 –16:00
16:00 –16:50
17:00 – 17:50
Welcome
Ben Jantzen (Virginia Tech): Machines and Ontological Induction
Kate Vredenburgh (LSE): Against Decision Thresholds
Donal Khosrowi (Hannover): Generalization in Machine Learning: A Plea for Better Theory
Lunch Break
Tim Räz (Bern): Machine Learning and the Quest for Objectivity in Climate Model Parameterization
Winnie Ma (KCL): Profiling Patients
Coffee Break/Snacks
Heather Champion (Rotman Institute): A Transferrable Conceptual Toolbox for Characterizing Novelty with Machine-led Exploratory Experiments
Cameron Buckner (Houston): On Measures Relating Representations in DNNs to Representations in the Brain
Dinner at Caro’s
Friday, 21st October
9:00 – 09:30
9:30 – 10:20
10:30 – 11:20
11:30 – 12:20
12:20 – 13:30
13:30 – 14:20
14:30 – 15:20
15:20 –16:00
16:00 –16:50
17:00 – 17:50
Coffee
Uljana Feest (Hannover): Big Data and Machine Learning in the Measurement of Personality Traits
David Watson (KCL): Probing Errors with Explainable Artificial Intelligence (joint work with D. Mayo)
Hong Yu Wong (Tübingen): Varieties of Intelligence?
Lunch Break
Jan-Willem Romeijn (Groningen): Machine Learning, or: The Return of Instrumentalism
Brandon James Ashby (York): Machine Learning Models of High-Level Vision: On the Format and Character of Category Perception
Coffee Break/Snacks
Lily Hu (Yale): TBA
Zachary Lipton (CMU): Induction, Identification, Interpolation, and Extrapolation in Machine Learning
Dinner at Freistil
Saturday, 22nd October
10:00 – 10:30
10:30 – 11:20
11:30 – 12:20
12:20 – 13:30
13:30 – 14:20
14:30 – 15:20
15:20 –16:00
Coffee
Emily Sullivan (Eindhoven): Idealization in Machine Learning and XAI
Bojana Grujicic (UCL): Deep Neural Networks as Mechanistic Explanations of Object Recognition: In Search of the Explanans (CANCELLED)
Rabanus Derr (Tübingen): Fairness and Randomness in Machine Learning: Statistical Independence and Relativization
Lunch Break
Frederick Eberhardt (Caltech): Continuous Causal Macro Variables
Katie Creel (Northeastern): A Molineux Problem for Automated Science
Tom Sterkenburg (LMU): Machine Learning and the Philosophical Problem of Induction
Closing Words and Drinks
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