Nov
21
2:00 PM14:00
Fabrizio Ventola: Robust probabilistic circuits for efficient and reliable predictions
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Nov
27
4:00 PM16:00
CRAI-CIS Seminar: The value of structural features for cross-language prominent content analysis
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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
29
9:30 AM09:30
Grigorios Tsoumakas: Neural Abstractive Summarization
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Dec
2
2:00 PM14:00
Antti Oulasvirta: Better AI with Better Human Models
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Dec
3
9:00 AM09:00
Feb
5
8:30 AM08:30
AIX Forum - Medical Device Regulation and AI: Success Stories
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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
28
5:00 PM17:00
Oct
24
2:00 PM14:00
Aliaksandra Shysheya: On Conditional Diffusion Models for PDE Simulations
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Oct
24
9:00 AM09:00
Oct
21
to Oct 22
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
2:30 PM14:30
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
23
5:00 PM17:00
Sep
12
2:00 PM14:00
Thomas Möllenhoff: Variational Learning is Effective for Large Deep Networks
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Jul
1
to Jul 5
ELLIS Summer School: Collaborative and Generative AI
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Jun
28
9:00 AM09:00
ELLIS Workshop on Probabilistic Numerics and Physics-Informed Learning
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Jun
27
to Jun 28
Jun
17
2:00 PM14:00
Maximilian Naegele: Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
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Jun
10
2:00 PM14:00
Mine Dogucu: Updating Beliefs on Bayesian Education: Reflections on Research and Teaching Projects
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May
23
9:30 AM09:30
May
22
4:00 PM16:00
CRAI-CIS Seminar: Using AI bias to mitigate poverty
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May
20
2:00 PM14:00
Mikko Koivisto: Bayesian inference of causal graphs: where we are and where we should go
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May
13
4:30 PM16:30
May
6
2:15 PM14:15
Matias Turkulainen: NeRFs and 3D Gaussian Splatting: Survey and Applications in 3D Computer Vision
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Apr
29
5:00 PM17:00
Apr
22
2:00 PM14:00
Michael Mathioudakis: Algorithms for Efficient Machine Learning (ML)
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Apr
16
9:30 AM09:30
Apr
8
2:15 PM14:15
Mikko Mäkelä: Bayesian optimization for design of experiments
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Mar
28
10:15 AM10:15
David Leslie: Reinforcement learning in bandits and games
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Mar
25
2:00 PM14:00
Chen He: VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models
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Mar
18
4:30 PM16:30
Mar
11
2:00 PM14:00
Mashrura Musharraf: Navigating Tomorrow: Putting People at the Helm of Maritime Digitalization and Automation
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