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Monday, November 2 |
08:00 - 09:30
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Attend
SPC: Student Paper Competition |
Room 1
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10:00 - 11:20
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Attend
MO1-1: Waveform Design |
Room 1
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Attend
MO1-2: Machine Learning for Advanced Wireless Communications |
Room 2
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Attend
MO1-3: Decentralized Learning and Optimization |
Room 3
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Attend
MO1-4: Applications of Deep Learning I |
Room 4
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Attend
MO1-5: Sparse Array Processing in MIMO Systems |
Room 5
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Attend
MO1-6: Network-Level Analysis and Modeling of Neural Data |
Room 6
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Attend
MO1-7: Architectures for Machine Learning |
Room 7
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Attend
MO1-8: Signal and Image Processing for Visual Cultural Heritage |
Room 8
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13:00 - 14:20
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Attend
MO2-1: Modulation |
Room 1
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Attend
MO2-2: Machine Learning for Communication Systems |
Room 2
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Attend
MO2-3: Tensor Methods for Signal, Data, and Network Analytics |
Room 3
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Attend
MO2-4: Applications of Deep Learning II |
Room 4
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Attend
MO2-5: Robust Techniques for Effective Direction of Arrival Estimation |
Room 5
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Attend
MO2-6: Signal Processing for Neural and Medical Imaging |
Room 6
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Attend
MO2-7: Energy-Efficient solutions for neural networks and applications |
Room 7
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Attend
MO2-8: Generative Modeling of Images and Video: Challenges, Trends, and Applications |
Room 8
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14:50 - 16:30
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Attend
MO3-1: Machine Learning for Wireless Resource Allocation |
Room 1
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Attend
MO3-2: Milimeter Wave Architectures and Baseband Algorithms |
Room 2
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Attend
MO3-3: Nonconvex Methods for High-Dimensional Estimation |
Room 3
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Attend
MO3-4: Robustness and Efficiency in Machine Learning |
Room 4
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Attend
MO3-5: Tensor-Based Array Signal Processing |
Room 5
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Attend
MO3-6: Neuro-Rehabilitation and Assistive Technologies |
Room 6
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Attend
MO3-7: Low-Resolution Sampling and Modulation |
Room 7
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Attend
MO3-8: Reinforcement Learning and Bandits for Communication Systems |
Room 8
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Tuesday, November 3 |
08:00 - 09:30
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Attend
PLEN-1: Keshab Parhi |
Room 1
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10:00 - 11:20
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Attend
TU1-1: Information Theory |
Room 1
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Attend
TU1-2: Millimeter Wave and Beyond |
Room 2
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Attend
TU1-3: Signals on Graphs: Filtering, Evolution, and Convergence |
Room 3
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Attend
TU1-4: Generative Models in Computational Imaging |
Room 4
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Attend
TU1-5: Beamforming |
Room 5
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Attend
TU1-6: Signal Processing for Computational Genomics |
Room 6
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Attend
TU1-7: Architectures and Arithmetic for Autonomous Sensor Modules |
Room 7
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Attend
TU1-8: Computational Methods for Audio Processing and Enhancement |
Room 8
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13:00 - 14:20
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Attend
TU2-1: mm-Wave Communication |
Room 1
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Attend
TU2-2: MIMO Communication Beyond 5G |
Room 2
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Attend
TU2-3: Statistical Signal Processing Over Networks |
Room 3
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Attend
TU2-4: Nonlinear Estimation |
Room 4
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Attend
TU2-5: Radar |
Room 5
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Attend
TU2-6: Algorithms, Learning, and Theory for Computational Imaging |
Room 6
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Attend
TU2-7: Positioning Energy Constraint Devices |
Room 7
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Attend
TU2-8: Neural Generative Systems for Speech Compression, Synthesis, and Enhancement |
Room 8
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14:50 - 16:30
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Attend
TU3-1: Coding |
Room 1
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Attend
TU3-2: Large Reconfigurable Intelligent Surfaces for Future Wireless Communications |
Room 2
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Attend
TU3-3: Graph Signal Processing |
Room 3
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Attend
TU3-4: Machine Learning in Communications |
Room 4
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Attend
TU3-5: Robust Multi-Sensor Signal Processing: Challenges and Perspectives |
Room 5
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Attend
TU3-6: Neuroengineering and Neural Signal Processing |
Room 6
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Attend
TU3-7: Massive MIMO: Cell-Free and Beyond |
Room 7
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Attend
TU3-8: Image and Video Processing and Modeling |
Room 8
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Wednesday, November 4 |
08:00 - 09:30
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Attend
PLEN-2: Katie Bouman |
Room 1
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10:00 - 11:20
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Attend
WE1-1: 5G and Beyond I |
Room 1
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Attend
WE1-2: Signal Processing for Simultaneous Transmit-Receive Systems |
Room 2
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Attend
WE1-3: Decentralized Optimization |
Room 3
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Attend
WE1-4: Sparsity for Nonlinear Inverse Problems |
Room 4
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Attend
WE1-5: Learning-based Multichannel Signal Processing |
Room 5
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Attend
WE1-6: Machine Learning for Physiological Signal Processing |
Room 6
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Attend
WE1-7: Algorithm-Architecture Co-Design for Energy Efficient (Beyond) 5G Systems |
Room 7
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Attend
WE1-8: Rate-Splitting and Robust Interference Management |
Room 8
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13:00 - 14:20
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Attend
WE2-1: 5G and Beyond II |
Room 1
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Attend
WE2-2: Signal Processing Algorithms and Hardware for Massive MIMO |
Room 2
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Attend
WE2-3: Wireless Networks I |
Room 3
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Attend
WE2-4: Distributed Coding and Optimization |
Room 4
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Attend
WE2-5: Parametric MIMO Channel Estimation |
Room 5
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Attend
WE2-6: From Neural Networks to Neural Systems: Using AI to Decode the Brain in Health and Disease |
Room 6
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Attend
WE2-7: Low Power and Wide Area: Implementations That Make It Happen |
Room 7
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Attend
WE2-8: Advances in Visual Data Compression and Communication |
Room 8
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14:50 - 16:30
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Attend
WE3-1: Spectrum |
Room 1
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Attend
WE3-2: Massive MIMO Radar |
Room 2
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Attend
WE3-3: Wireless Networks II |
Room 3
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Attend
WE3-4: Theory of Machine Learning |
Room 4
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Attend
WE3-5: DOA Estimation and Source Localization |
Room 5
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Attend
WE3-6: In-Band Full Duplex Communications for Future Wireless Systems |
Room 6
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Attend
WE3-7: Arithmetic, Algorithms, and Practicalities |
Room 7
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Attend
WE3-8: Learning from Light: Where Computer Vision and Machine Learning Meets Optics and Imaging |
Room 8
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Thursday, November 5 |
08:00 - 09:20
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Attend
TH1-1: Matrix Completion Methods for Wireless Systems |
Room 1
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Attend
TH1-2: Optimization and Learning |
Room 2
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Attend
TH1-3: Novel Control Algorithms for Smart Grid Applications |
Room 3
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Attend
TH1-4: Bayesian Bounds for Stochastic Signal Recovery I |
Room 4
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Attend
TH1-5: Sparsity-aware learning |
Room 5
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Attend
TH1-6: Image Recovery in Computational Imaging Applications |
Room 6
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Attend
TH1-7: Adaptive Methods I |
Room 7
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Attend
TH1-8: Modeling and Coding of Speech, Audio, and Acoustics |
Room 8
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10:00 - 11:20
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Attend
TH2-1: Matrix Recovery |
Room 1
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Attend
TH2-3: Deep Learning and Reinforcement Learning |
Room 3
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Attend
TH2-4: Bayesian Bounds for Stochastic Signal Recovery II |
Room 4
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Attend
TH2-5: Machine Learning Algorithms |
Room 5
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Attend
TH2-6: Sequential Methods |
Room 6
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Attend
TH2-7: Adaptive Methods II |
Room 7
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Attend
TH2-8: Deep Learning Techniques for Detection and Classification in Images and Video |
Room 8
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