Dec
9
2:00 PM14:00
Linda Mannila: AI in the classroom – designing AI literacy for K-12 education
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Dec
3
9:00 AM09:00
Dec
2
2:00 PM14:00
Antti Oulasvirta: Better AI with Better Human Models
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Nov
29
9:30 AM09:30
Grigorios Tsoumakas: Neural Abstractive Summarization
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Nov
28
2:30 PM14:30
Industry and Society Webinar: Empirical design of experiments with AI
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Nov
21
2:00 PM14:00
Fabrizio Ventola: Robust probabilistic circuits for efficient and reliable predictions
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Nov
11
2:00 PM14:00
Andrew Cropper: The Automatic Computer Scientist
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Nov
7
4:00 PM16:00
Nikola Surjanovic: Software and MCMC methods for sampling from complex distributions
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Oct
24
2:00 PM14:00
Aliaksandra Shysheya: On Conditional Diffusion Models for PDE Simulations
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Oct
10
2:00 PM14:00
Hannes Stark & Bowen Jing: Generative Models for Biomolecular Prediction, Dynamics, and Design
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Sep
30
1:00 PM13:00
Toni Karvonen: Probabilistic Richardson extrapolation
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Sep
26
2:00 PM14:00
Erik Englesson: Exploiting Properties of the Gaussian Likelihood for Label Noise Robustness in Classification
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Sep
12
2:00 PM14:00
Thomas Möllenhoff: Variational Learning is Effective for Large Deep Networks
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