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Plenary Speakers
From compressed sensing to deep learning: tasks, structures, and models
Deep Representation Learning
Gauss-Fourier-Wiener-Kalman Ensembles for Adaptivity and Robustness
Multiantenna Precoding in Wireless Communication Systems
Conversational Systems and the Marriage of Speech and Language
Tutorials
T-1: Machine Learning and Wireless Communications
T-2: Distributed and Efficient Deep Learning
T-3: Graph Filters with Applications to Distributed Optimization and Neural Networks
T-5: Quantum Signal Processing & Communications – a Glimpse beyond Moore’s Law
T-6: Robust Data Science: Modern Tools for Detection, Clustering and Cluster Enumeration
T-7: Signal Processing for MIMO Communications Beyond 5G
T-8: Adversarial Robustness of Deep Learning Models: Attack, Defense and Verification
T-9: Graph Neural Networks
T-10: Biomedical Image Reconstruction—From Foundations to Deep Neural Networks
T-11: Game theoretic learning and applications to spectrum collaboration
T-12: Information Extraction in Joint Millimeter-Wave State Sensing and Communications: Fundamentals to Applications
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Women in Signal Processing
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From Speech AI to Finance AI and Back
6G: From Connected Everything to Connected Intelligence
Radar Role: From the Underground to Outer Space
How Technical Standards Add Value: from Theory to Practice
Speaker Sessions
Signal Processing for IoT and DataNet
Computational Sensing and Vision Technology in Industry
Smart Sound and Voice Processing for the Digital Society
Panels
The B5G/6G Challenge – A Race of Enabling Technologies and Design Principles
Signal Processing for Integrated Terrestrial, Airborne and Satellite Networks
Signal Processing for Extended Reality
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Pol Henarejos
Ph.D., Researcher
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