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AIML Special Presentation: Beyond Sight: Robots Mastering Social and Physical Awareness
- Date: Tue, 13 Feb 2024
- Location: AIML
In the rapidly advancing field of robotics, understanding both social and physical dynamics is crucial for seamlessly integrating robots into dynamic human-centric spaces. Operating effectively in such environments requires a robust visual perception system capable of comprehending physical scenes while anticipating and understanding nuanced human social behaviours.
AIML Guest Presentation: Optimisation-centric Generalisations of Bayesian Inference
- Date: Wed, 24 Jan 2024
- Location: AIML
Dr Knoblauch summarises a recent line of research and advocate for an optimization-centric generalisation of Bayesian inference. The main thrust of this argument relies on identifying the tension between the assumptions motivating the Bayesian posterior and the realities of modern Bayesian Machine Learning. Our generalisation is a useful conceptual device, but also has methodological merit: it can address various challenges that arise when the standard Bayesian paradigm is deployed in Machine Learning—including robustness to model misspecification, robustness to poorly chosen priors, and inference in intractable models
