Jun
25
1:15 PM13:15
Guest talk: Understanding and Mitigating Memorization in Foundation Models
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Oct
20
9:00 AM09:00
May
7
9:00 AM09:00
Apr
22
9:00 AM09:00
FCAI SIG Language, speech and cognition: Digital Language Sovereignty – Euskadi–Finland AI & Language workshop
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Apr
16
3:00 PM15:00
Apr
2
9:30 AM09:30
Guest talk: Francesco Locatello – Discovering and Estimating Causal Effects from Raw Experimental Data
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Mar
31
3:00 PM15:00
Mar
13
9:00 AM09:00
Mar
4
3:00 PM15:00
Harita Dellaporta: Model-based Distributionally Robust Optimisation: Bayesian Ambiguity Sets and Model Misspecification
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Feb
12
2:15 PM14:15
FCAI SIG on Language, speech and cognition: Petter Holme, Understanding society from structures in time
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Feb
5
2:15 PM14:15
FCAI SIG on Language, speech and cognition: Guest lecture by Seth Aycock, Reasoning about Translation in LLMs
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Nov
19
10:00 AM10:00
Joint IEEE-FCAI Seminar on Smart Biomedical Systems
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Nov
13
9:00 AM09:00
Nov
7
2:00 PM14:00
Nov
6
4:00 PM16:00
Visiting lecture — Per Ola Kristensson: Using AI to Amplify the Human Condition
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Nov
4
10:00 AM10:00
Trustworthy and Federated Learning with Medical and Imaging Applications
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Oct
24
11:15 AM11:15
Guest lecture: Rethinking Interpretability and Adaptivity of Deep Learning
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Oct
17
3:00 PM15:00
Sep
18
3:00 PM15:00
Sep
1
to Sep 4
FCAI SIG Edge AI: Summer School on Edge AI 2025
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Jun
16
9:00 AM09:00
FCAI SIG Edge AI Workshop: Future landscape of telecom and computing in the post LLM era
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Jun
2
2:00 PM14:00
Daniel Schmidt: Fundamental limitations of foundational time series forecasting models: The need for multimodality and rigorous evaluation
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May
26
5:00 PM17:00
May
26
2:00 PM14:00
Klaus Nordhausen: Identifiable Variational Autoencoders for Modelling Multivariate Spatio-Temporal Data
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May
14
12:00 PM12:00
Visiting lecture — Q. Vera Liao: Human-Centered AI Transparency: Bridging the Sociotechnical Gap
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May
14
10:00 AM10:00
May
8
2:00 PM14:00
François-Xavier Briol: Robust and Conjugate Gaussian Processes Regression
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Apr
15
12:30 PM12:30
Apr
14
2:00 PM14:00
Ossi Räisä: Noise-Aware Differentially Private Regression via Meta-Learning
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Apr
8
1:00 PM13:00
Mar
31
5:00 PM17:00
Mar
28
9:00 AM09:00