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My Asilomar 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a session name will add all papers in that session to your custom schedule. Clicking on the session title will show all papers contained within the session and will allow adding of individual papers to your personal schedule.

Note: Times and locations are subject to change.

 
Monday, November 4
10:15 - 11:55
MA1b: Beyond Massive MIMO (Invited) Nautilus
MA2b: Advances in Sequential Estimation, Sampling, and Testing (Invited) Surf & Sand
MA3b: New Perspectives on Multiple Access (Invited) Triton
MA4b: Deep Learning for Inverse Problems (Invited) Heather
MA5b: Graph Signal Processing: Advances in Sampling, Filtering, Reconstruction (Invited) Scripps
MA6b: Compilation for Spatial Computing Architectures (Invited) Toyon
MA7b: Modeling, Optimization, and Machine Learning for Computational Imaging (Invited) Acacia
MA8b1: Audio, Video, and Speech Processing Merrill
MA8b2: DOA Estimation, Beamforming, and Localization Merrill
MA8b3: Array Processing for Signal Detection and Classification Merrill
13:30 - 15:10
MP1a: MIMO for mmWave and THz (Invited) Nautilus
MP2a: Distributed Learning in Multi-Agent Environments (Invited) Surf & Sand
MP3a: Optimization Methods for Wireless Communications (Invited) Triton
MP4a: Geometric Deep Learning 1 (Invited) Heather
MP5a: Compressive Sensing and Line Spectral Estimation (Invited) Scripps
MP6a: Signal Processing Advances in Neural Modeling (Invited) Toyon
MP7a: Mathematical Data Science (Invited) Acacia
MP8a3: Networks: Models and Systems Merrill
MP8a2: Wireless Networks Merrill
MP8a1: Architectures and Implementations Merrill
15:30 - 17:10
MP1b: Millimeter-Wave MIMO Systems with Low-Complexity Processing (Invited) Nautilus
MP2b: Distributed Optimization in Networked Settings (Invited) Surf & Sand
MP3b: Tensor Modeling and Processing (Invited) Triton
MP4b: Geometric Deep Learning 2 (Invited) Heather
MP5b: Advances in Bayesian Machine Learning (Invited) Scripps
MP6b: Neuromorphic Computing (Invited) Toyon
MP7b: Geometric and Topological Methods (Invited) Acacia
 
Tuesday, November 5
08:15 - 09:55
TA1a: Machine Learning for Channel Coding (Invited) Nautilus
TA2a: Spectrum Sharing (Invited) Surf & Sand
TA3a: Distributed MIMO (Invited) Triton
TA4a: Statistical Signal Processing and Big Data Analysis (Invited) Heather
TA5a: Signal Processing Advances in Neuroimaging I (Invited) Scripps
TA6a: Computer Arithmetic (Invited) Toyon
TA7a: Adaptive Beamforming and Interference Mitigation (Invited) Acacia
TA8a1: Convex and Non-Convex Optimization and Phase Retrieval Merrill
TA8a4: Transmission and Beamforming Schemes Merrill
TA8a2: Compressive Sensing and Sparsity Merrill
TA8a3: Estimation and Adaptive Filtering Merrill
10:15 - 11:55
TA1b: Short-Packet Communications (Invited) Nautilus
TA2b: Signal Processing for Multiple-Antenna Systems with Coarsely Quantized Signals (Invited) Surf & Sand
TA3b: Optimization of MIMO Systems (Invited) Triton
TA4b: Theory of Deep Learning (Invited) Heather
TA5b: Neuroscience-inspired Machine Learning (Invited) Scripps
TA6b: VLSI Systems for Communications (Invited) Toyon
TA7b: Automotive Radar (Invited) Acacia
TA8b4: System Analysis, Performance Evaluation, and Optimization Merrill
TA8b3: Cognitive Radio, Spectrum Sharing, Localization, and Radar Merrill
TA8b1: Communication Systems Merrill
TA8b2: Learning and Estimation in Imaging Merrill
13:30 - 15:10
TP1a: Vehicle-to-Everything (V2X) Communication for Emerging Applications (Invited) Nautilus
TP2a: Self-Interference Cancellation in Radio Frequency Transceivers (Invited)  Surf & Sand
TP3a: MIMO and Cognitive Radar (Invited) Triton
TP4a: Machine Learning and Inverse Problems (Invited) Heather
TP5a: Deep Learning and Neuroscience (Invited) Scripps
TP6a: Sparse Arrays, Non-convex Inverse Problems, and Fundamental Limits (Invited) Toyon
TP7a: Machine Learning and Optimization in Distributed Networks (Invited) Acacia
TP8a1: Coding and Caching Merrill
TP8a2: Multi-Sensor Parameter Estimation Merrill
TP8a3: Array Signaling, Calibration, and Processing Merrill
TP8a4: Biomedical Imaging and Signal Processing Merrill
15:30 - 17:35
TP1b: Reliable and Low-Latency MIMO Communication (Invited) Nautilus
TP2b: Signal Processing for UAV/UGV Sensing (Invited) Surf & Sand
TP3b: MIMO Beamforming and Beamtracking (Invited) Triton
TP4b: Machine Learning Advances in Computational Imaging (Invited) Heather
TP5b: Inference and Learning in Graphs Scripps
TP6b: AI/Machine Learning Architectures (Invited) Toyon
TP7b: Optimization Methods in Array Processing Acacia
TP8b1: Architectures for Arithmetic and Signal Processing Systems Merrill
TP8b2: Online and Active Learning and Adaptive and Cognitive Systems Merrill
TP8b3: Matrix and Tensor Methods Merrill
 
Wednesday, November 6
08:15 - 09:55
WA1a: Hardware-Aware MIMO Transmission Strategies Nautilus
WA2a: Advances in Neural Modeling Surf & Sand
WA3a: Modulation and Coding Triton
WA4a: Deep Learning Theory (Invited) Heather
WA5a: Game-Theoretic Learning in Networks (Invited) Scripps
WA6a: Machine Learning in Communications Toyon
WA7a: Imaging and Multimedia (Invited) Acacia
WA8a2: Image Processing and Applications Merrill
WA8a3: Signal Processing and Applications Merrill
WA8a4: 5G and Beyond Merrill
WA8a1: Estimation, Inference, and Learning Merrill
10:15 - 11:30
WA1b: IoT and Cell-Free Massive MIMO Nautilus
WA2b: Estimation, Optimization, and Learning Surf & Sand
WA3b: Ultra-Reliable and Low-Latency Communication Triton
WA4b: Machine Learning Heather
WA5b: Age of Information: Advances Scripps
WA6b: Signal Processing Advances in Neuroimaging II Toyon
WA7b: Signal Processing Methods for Radar Acacia
WA8b3: Neural Signal Processing Merrill
WA8b4: Machine Learning Merrill
WA8b2: Detection and Estimation Algorithms Merrill
WA8b1: Deep Learning Merrill