Abstract: Tailor-made for massive connectivity and sporadic access, grant-free random access has become a promising candidate access protocol for massive machine-type communications (mMTC). Compared ...

Abstract: We address the fundamental problem of line spectral estimation in a Bayesian framework. We target model order and parameter estimation via variational inference in a probabilistic model in ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc) - uzh-rpg/event-based_vision_resources ...

Large language models struggle with causal inference, as demonstrated by a new dataset and task that evaluates their ability to determine causal relationships from correlational information, ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.