CRAI-CIS Seminar: Using AI bias to mitigate poverty
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ELLIS Summer School: Collaborative and Generative AI
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Matias Turkulainen: NeRFs and 3D Gaussian Splatting: Survey and Applications in 3D Computer Vision
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Michael Mathioudakis: Algorithms for Efficient Machine Learning (ML)
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Mikko Mäkelä: Bayesian optimization for design of experiments
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David Leslie: Reinforcement learning in bandits and games
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Chen He: VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models
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Mashrura Musharraf: Navigating Tomorrow: Putting People at the Helm of Maritime Digitalization and Automation
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Daniel Schmidt: Fast and Accurate Probabilistic Time Series Classification
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ELLIS Distinguished Lecture – Stefan Feuerriegel: Causal ML for learning treatment effects over time
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Martin Trapp: Flexible and Efficient Probabilistic Modeling with Tractable Circuits
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Ayush Bharti: Robust and sample-efficient simulation-based inference
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Carl Henrik Ek: Modulated Surrogates for Bayesian Optimisation
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FIMA - FCAI Seminar: AI in Research and Development
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Jörg Tiedemann: Releasing the MAMMOTH - a framework for large-scale modular multilingual NLP models
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AIX Forum: Future Mobility and Robotics applications seminar 2023
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Justin Domke: Monte Carlo Variational Inference
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ELLIS Distinguished Lecture & CRAI-CIS Seminar – Serge Belongie
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Aaro Järvinen: The role of machine learning in facilitating fusion energy research
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Bo Zhao: Scalable and Flexible Distributed Reinforcement Learning Systems
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CRAI-CIS Seminar: From Thought to Prompt: Cognitive Design Challenges in Human-LLM Interactions
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