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# System prepended metadata

title: Asilomar Schedule 04/11/2019
tags: [Others]

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# Asilomar Schedule 04/11/2019

###### Tags: `Others`

#### 07:30 - 09:00 Breakfast	Crocker (Dining Hall)
#### 08:00 - 18:00 Registration	
#### 08:15 - 09:45 MA1a: Conference Welcome and Plenary Session	Chapel

###### Session MA1a: Fundamental limits of deep neural network learning - Prof. Helmut Bölcskei, ETH Zurich

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Abstract

We develop the fundamental limits of learning in deep neural networks by characterizing what is possible if no constraints on the learning algorithm and the amount of training data are imposed. Concretely, we consider Kolmogorov-optimal approximation through deep neural networks with the guiding theme being a relation between the complexity of the function (class) to be approximated and the complexity of the approximating network in terms of connectivity and memory requirements for storing the network topology and the associated quantized weights. The theory we develop educes remarkable universality properties of deep networks. Specifically, deep networks are optimal approximants for vastly different function classes such as affine systems and Gabor systems. In addition, deep networks provide exponential approximation accuracy—i.e., the approximation error decays exponentially in the number of non-zero weights in the network—of widely different functions including the multiplication operation, polynomials, sinusoidal functions, general smooth functions, and even one-dimensional oscillatory textures and fractal functions such as the Weierstrass function, both of which do not have any known methods achieving exponential approximation accuracy. We also show that in the approximation of sufficiently smooth functions finite-width deep networks require strictly smaller connectivity than finite-depth wide networks.<br/>

Biography

Helmut Bölcskei was born in Mödling, Austria on May 29, 1970, and received the Dipl.-Ing. and Dr. techn. degrees in electrical engineering from Vienna University of Technology, Vienna, Austria, in 1994 and 1997, respectively. In 1998 he was with Vienna University of Technology. From 1999 to 2001 he was a postdoctoral researcher in the Information Systems Laboratory, Department of Electrical Engineering, and in the Department of Statistics, Stanford University, Stanford, CA. He was in the founding team of Iospan Wireless Inc., a Silicon Valley-based startup company (acquired by Intel Corporation in 2002) specialized in multiple-input multiple-output (MIMO) wireless systems for high-speed Internet access, and was a co-founder of Celestrius AG, Zurich, Switzerland. From 2001 to 2002 he was an Assistant Professor of Electrical Engineering at the University of Illinois at Urbana-Champaign. He has been with ETH Zurich since 2002, where he is a Professor of Mathematical Information Science in the Department of Electrical Engineering, also associated with the Department of Mathematics. He was a visiting researcher at Philips Research Laboratories Eindhoven, The Netherlands, ENST Paris, France, and the Heinrich Hertz Institute Berlin, Germany. His research interests are in applied mathematics, machine learning theory, mathematical signal processing, data science, and statistics.

He received the 2001 IEEE Signal Processing Society Young Author Best Paper Award, the 2006 IEEE Communications Society Leonard G. Abraham Best Paper Award, the 2010 Vodafone Innovations Award, the ETH "Golden Owl" Teaching Award, is a Fellow of the IEEE, a 2011 EURASIP Fellow, was a Distinguished Lecturer (2013-2014) of the IEEE Information Theory Society, an Erwin Schrödinger Fellow (1999-2001) of the Austrian National Science Foundation (FWF), was included in the 2014 Thomson Reuters List of Highly Cited Researchers in Computer Science, and is the 2016 Padovani Lecturer of the IEEE Information Theory Society. He served as an associate editor of the IEEE Transactions on Information Theory, the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications, and the EURASIP Journal on Applied Signal Processing. He was editor-in-chief of the IEEE Transactions on Information Theory during the period 2010-2013 and served on the editorial board of the IEEE Signal Processing Magazine, “Foundations and Trends in Communication and Information Theory”, and “Foundations and Trends in Networking”. He was TPC co-chair of the 2008 IEEE International Symposium on Information Theory and the 2016 IEEE Information Theory Workshop and served on the Board of Governors of the IEEE Information Theory Society. He has been a delegate for faculty appointments of the president of ETH Zurich since 2008.
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#### 09:45 - 10:15 Coffee Social	
#### 10:15 - 11:55 

* MA1b: Beyond Massive MIMO (Invited)(Nautilus)
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MA1b-1: SUPER-DIRECTIVE ANTENNA ARRAYS: FUNDAMENTALS AND NEW PERSPECTIVES
         Thomas Marzetta; New York University


MA1b-2: USING MASSIVE MIMO ARRAYS FOR JOINT COMMUNICATION AND SENSING
         Stefano Buzzi; University of Cassino and Lazio Meridionale
         Carmen D'Andrea; University of Cassino and Lazio Meridionale
         Marco Lops; University ”Federico II” of Naples
 
MA1b-3: CAN A LARGE INTELLIGENT SURFACE BE USED FOR POSITIONING IF IT ONLY CAN MEASURE ENERGY?
         Juan Vidal Alegria; Lund University
         Fredrik Rusek; Lund University
 
MA1b-4: RADIOWEAVES FOR EFFICIENT CONNECTIVITY: ANALYSIS AND IMPACT OF CONSTRAINTS IN ACTUAL DEPLOYMENTS
         Liesbet Van der Perre; KU Leuven
         Erik G. Larsson; Linköping University
         Fredrik Tufvesson; Lund University
         Lieven De Strycker; KU Leuven
         Emil Björnson; Linköping University
         Ove Edfors; Lund University

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* MA2b: Advances in Sequential Estimation, Sampling, and Testing (Invited) (Surf & Sand)
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MA2b-1: NONPARAMETRIC GENERALIZATIONS OF THE SEQUENTIAL PROBABILITY RATIO TEST
         Steven Howard; University of California, Berkeley
         Aaditya Ramdas; Carnegie Mellon University
         Jon McAuliffe; University of California, Berkeley
         Jasjeet Sekhon; University of California, Berkeley
 
MA2b-2: INFORMATION-THEORETIC LOWER BOUNDS FOR ADAPTIVE SAMPLING: IS AN ORACLE TOO POWERFUL?
         Max Simchowitz; University of California, Berkeley
         Kevin Jamieson; University of Washington
 
MA2b-3: BEST-ARM IDENTIFICATION AND HYPOTHESIS TESTING IN VERY LARGE ACTION SPACES
         Kevin Jamieson; University of Washington
 
MA2b-4: ARE SAMPLE MEANS IN MULTI-ARMED BANDITS POSITIVELY OR NEGATIVELY BIASED?
         Jaehyeok Shin; Carnegie Mellon University
         Aaditya Ramdas; Carnegie Mellon University
         Alessandro Rinaldo; Carnegie Mellon University

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* MA3b: New Perspectives on Multiple Access (Invited) (Triton)
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MA3b-1: GRANT-FREE MASSIVE RANDOM ACCESS WITH A MASSIVE MIMO RECEIVER
         Alexander Fengler; Technical University of Berlin
         Giuseppe Caire; Technical University of Berlin
         Saeid Haghighatshoar; Technical University of Berlin
         Peter Jung; Technical University of Berlin
 
MA3b-2: CODED SLOTTED ALOHA OVER THE ON-OFF FADING CHANNEL: PERFORMANCE BOUNDS
         Gianluigi Liva; German Aerospace Center (DLR)
         Enrico Paolini; University of Bologna
         Cedomir Stefanovic; Aalborg University
         Alexandre Graell i Amat; Chalmers University of Technology
 
MA3b-3: INFORMATION THEORY OF MULTIPLE-ACCESS CHANNELS WITH MANY USERS
         Yury Polyanskiy; Massachusetts Institute of Technology
 
MA3b-4: PHASE TRANSITION ANALYSIS FOR COVARIANCE BASED MASSIVE RANDOM ACCESS WITH MASSIVE MIMO
         Zhilin Chen; University of Toronto
         Wei Yu; University of Toronto

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* MA4b: Deep Learning for Inverse Problems (Invited)	Heather

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MA4b-1: DEEP GENERATIVE MODELS AND INVERSE PROBLEMS
         Alex Dimakis; University of Texas at Austin
         Ajil Jalal; University of Texas at Austin
 
MA4b-2: ADDRESSING NON-EUCLIDEAN INVERSE PROBLEMS WITH GEOMETRIC DEEP LEARNING
         Joan Bruna; New York University
 
MA4b-3: GENERALIZATION RISK ANALYSIS FOR NEURAL PROXIMAL GRADIENT DESCENT ALGORITHMS
         Morteza Mardani; Stanford University
 
MA4b-4: DEEP DECODER: CONCISE IMAGE REPRESENTATIONS FROM UNTRAINED NON-CONVOLUTIONAL NETWORKS
         Reinhard Heckel; Rice University
         Paul Hand; Northeastern University

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* MA5b: Graph Signal Processing: Advances in Sampling, Filtering, Reconstruction (Invited)	Scripps

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MA5b-1: DISTRIBUTED ADAPTIVE LEARNING OF GRAPH PROCESSES VIA IN-NETWORK PROJECTIONS
         Paolo Di Lorenzo; Sapienza University of Rome
         Sergio Barbarossa; Sapienza University of Rome
         Stefania Sardellitti; Sapienza University of Rome
 
MA5b-2: ON DISTRIBUTED CONSENSUS BY A CASCADE OF GENERALIZED GRAPH FILTERS
         Mario Coutino; Delft University of Technology
         Geert Leus; Delft University of Technology
 
MA5b-3: AN EFFICIENT ALGORITHM FOR GRAPH LAPLACIAN OPTIMIZATION BASED ON EFFECTIVE RESISTANCES
         Eduardo Pavez; University of Southern California
         Antonio Ortega; University of Southern California
 
MA5b-4: NETWORK RECONSTRUCTION FROM GRAPH-STATIONARY SIGNALS WITH HIDDEN VARIABLES
         Andrei Buciulea; King Juan Carlos University
         Cristobal Cabrera; King Juan Carlos University
         Antonio Marques; King Juan Carlos University

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* MA6b: Compilation for Spatial Computing Architectures (Invited)	Toyon

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MA6b-1: HETEROCL: A MULTI-PARADIGM PROGRAMMING INFRASTRUCTURE FOR RECONFIGURABLE COMPUTING
         Yi-Hsiang Lai; Cornell University
         Zhiru Zhang; Cornell University
 
MA6b-2: PROGRAMMATIC CONTROL OF A COMPILER FOR GENERATING HIGH-PERFORMANCE SPATIAL HARDWARE
         Hongbo Rong; Intel Labs
 
MA6b-3: ANALYSIS METHODS FOR MEMORY IN HIGH-LEVEL SYNTHESIS
         George Constantinides; Imperial College London
 
MA6b-4: A HARDWARE-SOFTWARE BLUEPRINT FOR FLEXIBLE DEEP LEARNING SPECIALIZATION
         Thierry Moreau; University of Washington

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* MA7b: Modeling, Optimization, and Machine Learning for Computational Imaging (Invited)	Acacia

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MA7b-1: DEEP NETWORKS AND THE MULTIPLE MANIFOLD PROBLEM
         Dar Gilboa; Columbia University
         Sam Buchanan; Columbia University
         John Wright; Columbia University
 
MA7b-2: MODEL-BASED ITERATIVE RECONSTRUCTION FOR ECHO PLANAR IMAGING: METHODS AND APPLICATIONS
         Uten Yarach; Mayo Clinic
         Matt Bernstein; Mayo Clinic
         John Huston III; Mayo Clinic
         Myung-Ho In; Mayo Clinic
         Daehun Kang; Mayo Clinic
         Yunhong Shu; Mayo Clinic
         Erin Gray; Mayo Clinic
         Nolan Meyer; Mayo Clinic
         Joshua Trzasko; Mayo Clinic
 
MA7b-3: RELIABLE DEEP LEARNING FOR COMPUTATIONAL MICROSCOPY
         Lei Tian; Boston University
         Yujia Xue; Boston University
         Shiyi Cheng; Boston University
         Yunzhe Li; Boston University
 
MA7b-4: LOW-RANK MODELING OF LOCAL SINOGRAM NEIGHBORHOODS WITH APPLICATION TO X-RAY CT AND PET
         Rodrigo A. Lobos; University of Southern California
         Richard M. Leahy; University of Southern California
         Justin P. Haldar; University of Southern California

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* MA8b1: Audio, Video, and Speech Processing	Merrill


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MA8b1-1: VARIETY-BASED BACKGROUND SUBTRACTION FOR NONLINEAR TRAJECTORY TRACKING
         Amr Elnakeeb; University of Southern California
         Urbashi Mitra; University of Southern California
 
MA8b1-2: AUTOMATED AUGMENTATION WITH REINFORCEMENT LEARNING AND GANS FOR ROUST IDENTIFICATION OF TRAFFIC SIGNS USING FRONT CAMERA IMAGES
         Sohini Roychowdhury; Volvocars USA
         Lars Tornberg; Volvocars
         Robin Halfvordsson; Chalmers University of Technology
         Jonatan Nordh; Chalmers University of Technology
         Adam Suhren Gustafsson; Chalmers University of Technology
         Joel Wall; Chalmers University of Technology
         Mattias Westerberg; Chalmers University of Technology
         Adam Wirehed; Chalmers University of Technology
         Zhanying Hu; University of California, Berkeley
         Meng Pan; University of California, Berkeley
         Louis Tilloy; University of California, Berkeley
 
MA8b1-3: VIDEO-BASED WETTING DETECTION FOR BLENDED FABRICS
         Xianpeng Liu; North Carolina State University
         Chau-Wai Wong; North Carolina State University
 
MA8b1-4: ADAPTIVE VIDEO SUBSAMPLING FOR ENERGY-EFFICIENT OBJECT DETECTION
         Divya Mohan; University of California, Berkeley
         Sameeksha Katoch; Arizona State University
         Suren Jayasuriya; Arizona State University
         Pavan Turaga; Arizona State University
         Andreas Spanias; Arizona State University
 
MA8b1-5: MUTUAL INFORMATION AND CELP VOICE CODEC PERFORMANCE ANALYSIS AND PREDICTION
         Jerry Gibson; University of California, Santa Barbara
 
MA8b1-6: ADAPTIVE FEEDBACK CANCELLATION FOR HEARING AIDS USING THE PREDICTION-ERROR METHOD WITH ORTHONORMAL BASIS FUNCTIONS
         Sahar Hashemgeloogerdi; University of Rochester
         Mark Bocko; University of Rochester
 
MA8b1-7: VOICE TRANSFORMATION USING TWO-LEVEL DYNAMIC WARPING
         Al-Waled Al-Dulaimi; Utah State University
         Todd Moon; Utah State University
         Jacob Gunther; Utah State University
 
MA8b1-8: DILATED CONVOLUTIONAL RECURRENT NEURAL NETWORK FOR MONAURAL SPEECH ENHANCEMENT
         Shadi Pirhosseinloo; University of Kansas
         Jonathan Scott Brumberg; University of Kansas

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* MA8b2: DOA Estimation, Beamforming, and Localization	Merrill


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MA8b2-1: CHIRP SOURCE DOA ESTIMATION USING FREQUENCY-SHIFT AND COMPRESSIVE DCFT
         Luay Ali Al Irkhis; Wright State University
         Arnab Shaw; Wright State University
 
MA8b2-2: NEAR-FIELD LOCALIZATION USING ANTENNA ARRAYS
         Benjamin Friedlander; University of California, Santa Cruz
 
MA8b2-3: GENERAL FIRST-ORDER RESULTS FOR PASSIVE LOCALIZATION FROM TWO SENSOR ARRAYS
         Louis Scharf; Colorado State University
         L. Todd McWhorter; Brooks Canyon, LLC
         James Given; Naval Research LaB
         Margaret Cheney; Colorado State University
 
MA8b2-4: 1-BIT SPARSE GRIDLESS SUPER-RESOLUTION DOA ESTIMATION FOR COPRIME ARRAYS
         Anupama Govinda Raj; Georgia Institute of Technology
         James McClellan; Georgia Institute of Technology
 
MA8b2-5: BLIND CO-CHANNEL SOURCE SEPARATION FOR PULSE-ON-PULSE INTERFERENCE
         Douglas Schuyler; Lockheed Martin Corporation
         Ben Johnson; Lockheed Martin Corporation
         Mitchel McGough; Lockheed Martin Corporation
 
MA8b2-6: COMPRESSIVE BEAMFORMING AND DIRECTIONAL SOUND RECONSTRUCTION USING THE KRONECKER ARRAY TRANSFORM
         Marcelo Abdala Daher; University of São Paulo
         Carlos A. Prete Jr.; University of São Paulo
         Vítor Heloz Nascimento; University of São Paulo
         Bruno S. Masiero; University of Campinas
 
MA8b2-7: ON ESPRITWITH MULTIPLE COPRIME-INVARIANCES
         Po-Chih Chen; California Institute of Technology
         P. P. Vaidyanathan; California Institute of Technology
 
MA8b2-8: DOPPLER-AIDED POSITION ESTIMATION FOR HS-GNSS
         Francois Vincent; University of Toulouse
         Eric Chaumette; University of Toulouse
         Jordi Vila-Valls; University of Toulouse

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* MA8b3: Array Processing for Signal Detection and Classification	Merrill

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MA8b3-1: ADAPTIVE SIGNAL DETECTION IN SUBSPACE INTERFERENCE WITH UNCERTAIN PRIOR KNOWLEDGE
         Yuan Jiang; Stevens Institute of Technology
         Hongbin Li; Stevens Institute of Technology
         Muralidhar Rangaswamy; Air Force Research Laboratory / RYAR
 
MA8b3-2: LOW-COMPLEXITY NEURAL NETWORK-BASED MIMO DETECTOR USING PERMUTED DIAGONAL MATRIX
         Siyu Liao; Rutgers University
         Chunhua Deng; Rutgers University
         Lingjia Liu; Virginia Tech
         Bo Yuan; Rutgers University
 
MA8b3-3: QUICKEST DETECTION OF A DYNAMIC ANOMALY IN A SENSOR NETWORK
         Georgios Rovatsos; University of Illinois at Urbana-Champaign
         George Moustakides; University of Patras
         Venugopal Veeravalli; University of Illinois at Urbana-Champaign
 
MA8b3-4: MULTI-CHANNEL TARGET DETECTION FOR MARITIME RADAR
         Elias Abouta; University of New South Wales
         Luke Rosenberg; DST Group
 
MA8b3-5: CLUTTER CANCELLATION IN PASSIVE RADAR AS A DUAL BASIS PROJECTION
         Stephen Searle; University of South Australia
         Stephen Howard; Defence Science and Technology Group
 
MA8b3-6: PROBABILITY OF DETECTION FOR UNAMBIGUOUS DOPPLER FREQUENCIES IN PULSE RADARS USING THE CHINESE REMAINDER THEOREM AND SUBPULSE PROCESSING
         Fernando Darío Almeida García; State University of Campinas
         André Saito Guerreiro; State University of Campinas
         Gustavo Rodrigues de Lima Tejerina; State University of Campinas
         José Cândido Silveira Santos Filho; State University of Campinas
         Gustavo Fraidenraich; State University of Campinas
         Michel Daoud Yacoub; State University of Campinas
         Marco Antonio Miguel Miranda; Bradar - Embraer Defense and Security
         Higor Cioqueta; Bradar - Embraer Defense and Security
 
MA8b3-7: FRACTIONAL SPECTROGRAM FOR CHARACTERIZING AND CLASSIFYING VIBRATING OBJECTS IN SAR IMAGES
         Francisco Perez; University of New Mexico
         Balu Santhanam; University of New Mexico
         Bipesh Shrestha; University of New Mexico
         Walter Gerstle; University of New Mexico
         Majeed M. Hayat; Marquette University

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#### 12:00 - 13:00 Lunch	Crocker (Dining Hall)
#### 13:30 - 15:10
* MP1a: MIMO for mmWave and THz (Invited)	Nautilus

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MP1a-1: A MASSIVE 28 GHZ SWITCHED ARRAY SOUNDER FOR DYNAMIC CHANNEL CHARACTERIZATION
         Harsh Tataria; Lund University
         Erik Bengtsson; Sony Research
         Peter C. Karlsson; Sony Research
         Fredrik Tufvesson; Lund University
 
MP1a-2: MANAGING HARDWARE IMPAIRMENTS IN HYBRID MILLIMETER WAVE MIMO SYSTEMS: A DICTIONARY LEARNING-BASED APPROACH
         Joan Palacios; Imdea Networks
         Nuria Gonzalez Prelcic; University of Texas at Austin
         Joerg Widmer; Imdea Networks
 
MP1a-3: A MACHINE LEARNING SOLUTION FOR BEAM TRACKING IN MMWAVE SYSTEMS
         Daoud Burghal; University of Southern California
         Naveed A. Abbasi; University of Southern California
         Andreas F. Molisch; Collaborator
 
MP1a-4: FINITE-ALPHABET WIENER FILTER PRECODING FOR MMWAVE MASSIVE MU-MIMO SYSTEMS
         Oscar Castañeda; Cornell University
         Sven Jacobsson; Chalmers University of Technology
         Giuseppe Durisi; Chalmers University of Technology
         Tom Goldstein; University of Maryland
         Christoph Studer; Cornell University

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* MP2a: Distributed Learning in Multi-Agent Environments (Invited)	Surf & Sand

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MP2a-1: DESIGN STRATEGIES FOR SPARSE CONTROL OF RANDOM TIME-VARYING NETWORKS
         Mario Coutino; Delft University of Technology
         Elvin Isufi; University of Pennsylvania
         Fernando Gama; University of Pennsylvania
         Alejandro Ribeiro; University of Pennsylvania
         Geert Leus; Delft University of Technology
 
MP2a-2: ONLINE NON-CONVEX OPTIMIZATION AND LEARNING BASED ON SUCCESSIVE CONVEX APPROXIMATION
         Paolo Di Lorenzo; Sapienza University of Rome
         Mattia Merluzzi; Sapienza University of Rome
 
MP2a-3: DISTRIBUTED EMPIRICAL RISK MINIMIZATION OVER DIRECTED GRAPHS
         Ran Xin; Tufts University
         Anit Kumar Sahu; The Bosch Center for Artificial Intelligence
         Soummya Kar; Carnegie Mellon University
         Usman Khan; Tufts University
 
MP2a-4: DISTRIBUTED LEARNING OVER NETWORKS UNDER SUBSPACE CONSTRAINTS
         Roula Nassif; Ecole polytechnique fédérale de Lausanne (EPFL)
         Stefan Vlaski; Ecole polytechnique fédérale de Lausanne (EPFL)
         Ali Sayed; Ecole polytechnique fédérale de Lausanne (EPFL)

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* MP3a: Optimization Methods for Wireless Communications (Invited)	Triton

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MP3a-1: UPLINK-DOWNLINK CHANNEL COVARIANCE TRANSFORMATIONS AND PRECODING DESIGN FOR FDD MASSIVE MIMO
         Mahdi Barzegar Khalilsarai; Technical University of Berlin
         Saeid Haghighatshoar; Technical University of Berlin
         Giuseppe Caire; Technical University of Berlin
 
MP3a-2: ZERO CROSSING MODULATION FOR COMMUNICATION WITH TEMPORALLY OVERSAMPLED 1-BIT QUANTIZATION
         Gerhard Fettweis; Technische Universität Dresden
         Meik Dörpinghaus; Technische Universität Dresden
         Sandra Bender; Technische Universität Dresden
         Martin Schlüter; Technische Universität Dresden
 
MP3a-3: OPTIMIZATION FOR DATA-DRIVEN WIRELESS SENSOR SCHEDULING
         Marcos Vasconcelos; University of Southern California
         Urbashi Mitra; University of Southern California
 
MP3a-4: DISTRIBUTED STOCHASTIC OPTIMIZATION IN NETWORKS WITH VARIANCE REDUCTION
         Yuejie Chi; Carnegie Mellon University

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* MP4a: Geometric Deep Learning 1 (Invited)	Heather

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MP4a-1: SCALABLE END-TO-END CLUSTERING WITH GRAPH NEURAL NETWORKS
         Nicholas Choma; New York University
         Joan Bruna; New York University
 
MP4a-2: POSITION-AWARE GRAPH NEURAL NETWORKS
         Jure Leskovec; Stanford University
 
MP4a-3: HODGENET: FLOW INTERPOLATION IN GRAPHS
         T. Mitchell Roddenberry; Rice University
         Santiago Segarra; Rice University
 
MP4a-4: GRAPH NEURAL NETWORK ARCHITECTURES FOR GRAPH OUTPUT SIGNALS
         Samuel Rey-Escudero; King Juan Carlos University
         Victor Manuel Tenorio; King Juan Carlos University
         Luca Martino; King Juan Carlos University
         Antonio Marques; King Juan Carlos University

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* MP5a: Compressive Sensing and Line Spectral Estimation (Invited)	Scripps

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MP5a-1: SELF-CALIBRATED SUPER RESOLUTION
         Maxime Ferreira Da Costa; Carnegie Mellon University
         Yuejie Chi; Carnegie Mellon University
 
MP5a-2: EMERGENT SPARSITY IN VARIATIONAL AUTOENCODER MODELS
         Bin Dai; Tsinghua University
         David Wipf; Microsoft Research
 
MP5a-3: SUPPORT RECOVERY FOR SPARSE RECOVERY AND NON-STATIONARY BLIND DEMODULATION
         Youye Xie; Colorado School of Mines
         Michael Wakin; Colorado School of Mines
         Gongguo Tang; Colorado School of Mines
 
MP5a-4: SPARSE RECOVERY BEYOND COMPRESSED SENSING
         Carlos Fernandez-Granda; New York University
         Brett Bernstein; New York University

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* MP6a: Signal Processing Advances in Neural Modeling (Invited)	Toyon

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MP6a-1: A STATE SPACE MODEL FOR DYNAMIC FUNCTIONAL CONNECTIVITY
         Sourish Chakravarty; Massachusetts Institute of Technology
         Brian Edlow; Massachusetts General Hospital
         Emery Brown; Massachusetts Institute of Technology
 
MP6a-2: CHARACTERIZING HIPPOCAMPAL REPLAY USING HYBRID POINT PROCESS FILTERS.
         Eric Denovellis; Boston University
         Loren Frank; University of California, San Francisco
         Uri Eden; Boston University
 
MP6a-3: MODULARITY-BASED DETECTION OF HIGH FREQUENCY OSCILLATIONS AND INTERICTAL EPILEPTOGENIC DISCHARGES IN SCALP EEG
         Stefan Sumsky; University of Connecticut
         Farrell Brown; University of Connecticut
         Tanya Dimitrov; University of Connecticut
         Taylor Somma; Connecticut Children Medical Center
         Mark Schomer; Connecticut Children Medical Center
         Sabato Santaniello; University of Connecticut
 
MP6a-4: A WEARABLE BRAIN MACHINE INTERFACE ARCHITECTURE FOR REGULATION OF ENERGY IN HYPERCORTISOLISM
         Hamid Fekri Azgomi; University of Houston
         Rose T. Faghih; University of Houston

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* MP7a: Mathematical Data Science (Invited)	Acacia

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MP7a-1: MANIFOLD PROXIMAL POINT ALGORITHMS FOR DUAL PRINCIPAL COMPONENT PURSUIT AND ORTHOGONAL DICTIONARY LEARNING
         Shixiang Chen; Chinese University of Hong Kong
         Zengde Deng; Chinese University of Hong Kong
         Shiqian Ma; University of California, Davis
         Anthony Man-Cho So; Chinese University of Hong Kong
 
MP7a-2: A BUNDLE-TYPE METHOD FOR DUAL ATOMIC PURSUIT
         Zhenan Fan; University of British Columbia
         Yifan Sun; University of British Columbia
         Michael Friedlander; University of British Columbia
 
MP7a-3: SKETCHING FOR MOTZKIN'S ITERATIVE METHOD FOR LINEAR SYSTEMS
         Elizaveta Rebrova; University of California, Los Angeles
         Deanna Needell; University of California, Los Angeles
 
MP7a-4: CONVERGENCE OF ITERATIVE HARD THRESHOLDING VARIANTS WITH APPLICATION TO ASYNCHRONOUS PARALLEL METHODS FOR SPARSE RECOVERY
         Jamie Haddock; University of California, Los Angeles
         Deanna Needell; University of California, Los Angeles
         Alireza Zaeemzadeh; University of Central Florida
         Nazanin Rahnavard; University of Central Florida

</span>
</details>

* MP8a1: Architectures and Implementations	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP8a1-1: ASYNCHRONOUS STOCHASTIC COMPUTING
         Patricia Gonzalez-Guerrero; University of Virginia
         Mircea Stan; University of Virginia
 
MP8a1-2: IMPLEMENTING FIRST-ORDER OPTIMIZATION METHODS: ALGORITHMIC CONSIDERATIONS AND BESPOKE MICROCONTROLLERS
         Xinwei Zhang; University of Minnesota
         John Sartori; University of Minnesota
         Mingyi Hong; University of Minnesota
         Sairaj Dhople; University of Minnesota
 
MP8a1-3: A DESIGN FRAMEWORK FOR INVERTIBLE LOGIC
         Naoya Onizawa; Tohoku University
         Kaito Nishino; Tohoku University
         Sean Smithson; McGill University
         Brett Meyer; McGill University
         Warren Gross; McGill University
         Hitoshi Yamagata; Canon Medical Systems Corp.
         Hiroyuki Fujita; Canon Medical Systems Corp.
         Takahiro Hanyu; Tohoku University
 
MP8a1-4: CONVERTING UNSTABLE CHALLENGES TO STABLE IN MUX-BASED PHYSICAL UNCLONABLE FUNCTIONS BY BIT-FLIPPING
         Anoop Koyily; University of Minnesota
         Keshab Parhi; University of Minnesota
 
MP8a1-5: FIRST-THEN-SECOND EXTREMA SELECTION
         Ali Al Ghouwayel; Lebanese International University (LIU)
         Hassan Harb; University of South Brittany / Lebanese University
         Emmanuel Boutillon; University of South Brittany
 
MP8a1-6: NEURAL NETWORK DPD VIA BACKPROPAGATION THROUGH A NEURAL NETWORK MODEL OF THE PA
         Chance Tarver; Rice University
         Liwen Jiang; Rice University
         Joseph Cavallaro; Rice University
         Aryan Sefidi; Rice University
 
MP8a1-7: FOURIER-BASED ERROR ANALYSIS FOR COMPUTING WITH ASYNCHRONOUS SIGMA-DELTA STREAMS
         Stephen Wilson; University of Virginia
         Patricia Gonzalez-Guerrero; University of Virginia
         Mircea Stan; University of Virginia
 
MP8a1-8: PERFORMANCE EVALUATION OF A SUM ERROR DETECTION SCHEME FOR DECIMAL ARITHMETIC
         Clara Schaertl Short; University of Texas at Austin
         Earl E. Swartzlander, Jr.; University of Texas at Austin

</span>
</details>

* MP8a2: Wireless Networks	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP8a2-1: BIPARTITE MATCHING MECHANISM FOR FRACTIONAL FREQUENCY REUSE-BASED D2D MULTICAST COMMUNICATIONS
         Devarani Devi Ningombam; Chosun University
         Jae-Young Pyun; Chosun University
         Suk-Seung Hwang; Chosun University
         Seokjoo Shin; Chosun University
 
MP8a2-2: ACTIVE CONTENT POPULARITY LEARNING VIA QUERY-BY-COMMITTEE FOR EDGE CACHING
         Srikanth Bommaraveni; University of Luxembourg
         Thang X. Vu; University of Luxembourg
         Satyanarayana Vuppala; United Technologies Research Centre
         Symeon Chatzinotas; University of Luxembourg
         Björn Ottersten; University of Luxembourg
 
MP8a2-3: JOINT POSITIONING-COMMUNICATIONS SYSTEM DESIGN: DISTRIBUTED COHERENCE AND POSITIONING
         Sharanya Srinivas; Arizona State University
         Andrew Herschfelt; Arizona State University
         Daniel Bliss; Arizona State University
 
MP8a2-4: THE CAPACITY REGION OF THE DETERMINISTIC Y-CHANNEL WITH RELAY COMMON AND PRIVATE MESSAGES
         Mohamed Salah Ibrahim; University of Virginia
         Yahya Mohasseb; Military Technical College
         Mohammed Nafie; Cairo University
 
MP8a2-5: ENERGY-EFFICIENT TRAJECTORY DESIGN FOR UAV-ENABLED WIRELESS COMMUNICATIONS WITH LATENCY CONSTRAINTS
         Hieu Dinh-Tran; University of Luxembourg
         Thang X. Vu; University of Luxembourg
         Symeon Chatzinotas; University of Luxembourg
         Ottersten Björn; University of Luxembourg
 
MP8a2-6: SELF-ORGANIZED SCHEME FOR UNIQUE CELL ID ASSIGNMENT DURING FEMTOCELL DEPLOYMENT
         Sinan Khwandah; Solent University
         John Cosmas; Brunel University
         Zaharias Zaharis; Aristotle University of Thessaloniki
         Pavlos Lazaridis; University of Huddersfield
         Albena Mihovska; Aarhus University
 
MP8a2-7: ON MULTI-USER BINARY COMPUTATION OFFLOADING IN THE FINITE-BLOCK-LENGTH REGIME
         Mahsa Salmani; McMaster University
         Timothy N. Davidson; McMaster University
 
MP8a2-8: INCREASING RELIABLE COVERAGE FOR MARITIME COMMUNICATIONS
         Ronald Raulefs; German Aerospace Center (DLR)
         Wei Wang; Chian'in University
 
MP8a2-9: AVERAGE AGE OF INFORMATION IN MULTI-SOURCE SELF-PREEMPTIVE STATUS UPDATE SYSTEMS WITH PACKET DELIVERY ERRORS
         Shahab Farazi; Worcester Polytechnic Institute
         Andrew Klein; Western Washington University
         Donald Brown; Worcester Polytechnic Institute

</span>
</details>

* MP8a3: Networks: Models and Systems	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP8a3-1: DECENTRALIZED INFORMATION FILTERING UNDER SKEW-LAPLACE NOISE
         Jordi Vilà-Valls; ISAE-SUPAERO - University of Toulouse
         François Vincent; ISAE-SUPAERO - University of Toulouse
         Pau Closas; Northeastern University
 
MP8a3-2: A MATHEMATICAL FRAMEWORK FOR INTERCONNECTED SYSTEMS OPERATING IN A 1-D NETWORK
         Jean E. Piou; Massachusetts Institute of Technology
 
MP8a3-3: BIPARTITE STRUCTURED GAUSSIAN GRAPHICAL MODELING VIA ADJACENCY SPECTRAL PRIORS
         Sandeep Kumar; Hong Kong University of Science and Technology
         Jiaxi Ying Ying; Hong Kong University of Science and Technology
         José Vinícius de M. Cardoso; Universidade Federal de Campina Grande
         Daniel Palomar; Hong Kong University of Science and Technology
 
MP8a3-4: ONLINE LEARNING MODELS FOR CONTENT POPULARITY PREDICTION IN WIRELESS EDGE CACHING
         Navneet Garg; Heriot-Watt University
         Bharath Bettagere; Indian Institute of Technology, Dharwad
         Vimal Bhatia; Indian Institute of Technology, Indore
         Mathini Sellathurai; Heriot-Watt University
         Tharmalingam Ratnarajah; Heriot-Watt University
 
MP8a3-5: ON THE LOWER BOUND OF MODULARITY FOR GRAPH FISSION
         John Roth; Naval Postgraduate School
 
MP8a3-6: FIRE FRONTLINE MONITORING BY ENABLING UAV-BASED VIRTUAL REALITY WITH ADAPTIVE IMAGING RATE
         Shafkat Islam; Northern Arizona University
         Abolfazl Razi; Northern Arizona University
         Fatemeh Afghah; Northern Arizona University
         Peter Fule; Northern Arizona University
 
MP8a3-7: ENERGY-AWARE MULTI-SERVER MOBILE EDGE COMPUTING: A DEEP REINFORCEMENT LEARNING APPROACH
         Navid Naderializadeh; Intel Corporation
         Morteza Hashemi; University of Kansas
 
MP8a3-8: COMPETITIVE INFORMATION SPREAD WITH CONFIRMATION BIAS
         Yanbing Mao; Binghamton University
         Emrah Akyol; Binghamton University
 
MP8a3-9: A TRUTHFUL MECHANISM FOR MOBILITY MANAGEMENT IN UNMANNED AERIAL VEHICLES NETWORKS
         Baocheng Geng; Syracuse University
         Swastik Brahma; Tennessee State University
         Pramod Varshney; Syracuse University
 
MP8a3-10: POWER MINIMIZATION IN WIRELESS SENSOR NETWORKS WITH CONSTRAINED AOI: STOCHASTIC OPTIMIZATION
         Mohammad Moltafet; University of Oulu
         Markus Leinonen; University of Oulu
         Marian Codreanu; Linköping University
         Nikolaos Pappas; Linköping University

</span>
</details>


#### 15:30 - 17:10
* MP1b: Millimeter-Wave MIMO Systems with Low-Complexity Processing (Invited) (Nautilus)

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP1b-1: LEARNING-BASED BEAM ALIGNMENT FOR SINGLE RADIO FREQUENCY-CHAIN LARGE MILLIMETER-WAVE ARRAYS
         Wai Ming Chan; City University of Hong Kong
         Hadi Ghauch; Télécom ParisTech
         Taejoon Kim; University of Kansas
         Gabor Fodor; Ericsson Research / KTH Royal Institute of Technology
 
MP1b-2: ALL-DIGITAL MASSIVE MIMO UPLINK AND DOWNLINK RATES UNDER A FRONTHAUL CONSTRAINT
         Yasaman Ettefagh; Chalmers University of Technology
         Sven Jacobsson; Chalmers University of Technology
         Giuseppe Durisi; Chalmers University of Technology
         Christoph Studer; Cornell University
 
MP1b-3: STRUCTURED TENSOR DECOMPOSITION-BASED CHANNEL ESTIMATION FOR WIDEBAND MILLIMETER WAVE MIMO
         Yuxing Lin; Southeast University
         Shi Jin; Southeast University
         Michail Matthaiou; Queen's University Belfast
         Xiaohu You; Southeast University
 
MP1b-4: SHORT RANGE 3D MIMO MMWAVE CHANNEL RECONSTRUCTION VIA GEOMETRY-AIDED AOAESTIMATION
         Jarkko Kaleva; University of Oulu
         Nitin Jonathan Myers; University of Texas at Austin
         Antti Tolli; University of Oulu
         Robert Heath; University of Texas at Austin
         Upamanyu Madhow; University of California, Santa Barbara

</span>
</details>

* MP2b: Distributed Optimization in Networked Settings (Invited)	Surf & Sand

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP2b-1: STOCHASTIC ZEROTH-ORDER ALGORITHM FOR DECENTRALIZED NONCONVEX OPTIMIZATION WITH OPTIMAL NETWORK SCALING
         Haoran Sun; University of Minnesota
         Mingyi Hong; University of Minnesota
 
MP2b-2: ON MAINTAINING LINEAR CONVERGENCE OF DISTRIBUTED LEARNING AND OPTIMIZATION UNDER LIMITED COMMUNICATION
         Sindri Magnusson; KTH Royal Institute of Technology
         Hossein Shokri-Ghadikolaei; KTH Royal Institute of Technology
         Na Li; Harvard University
 
MP2b-3: CONVERGENCE OF ASYNCHRONOUS SUBGRADIENT PUSH UNDER ARBITRARY BOUNDED DELAYS
         Mahmoud Assran; McGill University/Facebook
         Michael Rabbat; Facebook
 
MP2b-4: DISTRIBUTED INFERENCE OVER NETWORKS: GEOMETRICALLY CONVERGENT ALGORITHMS AND STATISTICAL GUARANTEES
         Ying Sun; Purdue University
         Ye Tian; Purdue University
         Gesualdo Scutari; Purdue University
         Guang Cheng; Purdue University

</span>
</details>

* MP3b: Tensor Modeling and Processing (Invited)	Triton

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP3b-1: LOW MULTILINEAR RANK UPDATING
         Stijn Hendrikx; KU Leuven
         Michiel Vandecappelle; KU Leuven
         Lieven De Lathauwer; KU Leuven
 
MP3b-2: ON THE ROLE OF SAMPLING IN UNDERDETERMINED TENSOR DECOMPOSITION WITH KRONECKER AND KHATRI-RAO STRUCTURED FACTORS
         Mehmet Can Hucumenoglu; University of California, San Diego
         Piya Pal; University of California, San Diego
 
MP3b-3: TENSOR-BASED LOCALIZATION OF NON-STATIONARY BRAIN SOURCES
         Nasrin Taheri; LTSI - UMR 1099, F-35000 Rennes
         Amar Kachenoura; LTSI - UMR 1099, F-35000 Rennes
         Ahmad Karfoul; LTSI - UMR 1099, F-35000 Rennes
         Karim Ansari; Université Shahid Chamran d'Ahvaz
         Lotfi Senhadi; LTSI - UMR 1099, F-35000 Rennes
         Laurent Albera; LTSI - UMR 1099, F-35000 Rennes
 
MP3b-4: CHANNEL ESTIMATION FOR TENSOR MIMO OFDM IN THE MILLIMETER WAVE BAND
         Damir Rakhimov; Ilmenau University of Technology
         Jianshu Zhang; Ilmenau University of Technology
         Andre de Almeida; Federal University of Ceara
         Adel Nadeev; Kazan National Research Technical University
         Martin Haardt; Ilmenau University of Technology

</span>
</details>

* MP4b: Geometric Deep Learning 2 (Invited)	Heather

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP4b-1: CONVOLUTIONAL GRAPH NEURAL NETWORKS
         Fernando Gama; University of Pennsylvania
         Antonio Marques; King Juan Carlos University
         Geert Leus; Delft University of Technology
         Alejandro Ribeiro; University of Pennsylvania
 
MP4b-2: CONVOLUTION AND SAMPLING IN GRAPH SIGNAL PROCESSING
         John Shi; Carnegie Mellon University
         Jose Moura; Carnegie Mellon University
 
MP4b-3: POOLING IN GRAPH CONVOLUTIONAL NEURAL NETWORKS
         Mark Cheung; Carnegie Mellon University
         John Shi; Carnegie Mellon University
         Oren Wright; Carnegie Mellon University
         Yao Jiang; Carnegie Mellon University
         Jose Moura; Carnegie Mellon University
 
MP4b-4: FAST GRAPH CONVOLUTIONAL RECURRENT NETWORKS
         Sai Kiran Kadambari; Indian Institute of Science
         Sundeep Prabhakar Chepuri; Indian Institute of Science

</span>
</details>

* MP5b: Advances in Bayesian Machine Learning (Invited)	Scripps

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP5b-1: DETECTING CAUSALITY USING DEEP GAUSSIAN PROCESSES
         Guanchao Feng; Stony Brook University
         J. Gerald Quirk; Stony Brook University
         Petar Djuric; Stony Brook University
 
MP5b-2: APPROXIMATE SHANNON SAMPLING IN IMPORTANCE SAMPLING: NEARLY CONSISTENT FINITE PARTICLE APPROXIMATIONS
         Amrit Singh Bedi; US Army Research Laboratory
         Alec Koppel; US Army Research Laboratory
         Brian Sadler; US Army Research Laboratory
         Victor Elvira; IMT Lille Douai
 
MP5b-3: LEARNING GAUSSIAN PROCESSES WITH BAYESIAN POSTERIOR OPTIMIZATION
         Luiz Chamon; University of Pennsylvania
         Santiago Paternain; University of Pennsylvania
         Alejandro Ribeiro; University of Pennsylvania
 
MP5b-4: INFERENCE AND MODELLING FOR ASYMMETRIC HEAVY-TAILED STOCHASTIC PROCESSES
         Simon Godsill; University of Cambridge
         Marina Riabiz; University of Cambridge
         Ioannis Kontoyiannis; University of Cambridge

</span>
</details>

* MP6b: Neuromorphic Computing (Invited)	Toyon

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP6b-1: THE PROMISE AND PITFALLS OF DEEP LEARNING WITH NON-VOLATILE MEMORY
         Pritish Narayanan; IBM Research - Almaden
         Stefano Ambrogio; IBM Research - Almaden
         Charles Mackin; IBM Research - Almaden
         Hsinyu Tsai; IBM Research - Almaden
         Geoffrey Burr; IBM Research - Almaden
 
MP6b-2: EFFECT OF ASYMMETRIC NONLINEARITY DYNAMICS IN RRAMS ON SPIKING NEURAL NETWORK PERFORMANCE
         Mohammed Fouda; University of California, Irvine
         Emre Neftci; University of California, Irvine
         Ahmed Eltawil; University of California, Irvine
         Fadi Kurdahi; University of California, Irvine
 
MP6b-3: SUPERVISED LEARNING WITH SPIKING NEURAL NETWORKS
         Bipin Rajendran; New Jersey Institute of Technology
 
MP6b-4: SCALABLE NEUROMORPHIC DRAM-BASED CNN AND RNN ACCELERATORS
         Tobi Delbruck; University of Zurich / ETH Zurich
         Shih-Chii Liu; University of Zurich / ETH Zurich

</span>
</details>

* MP7b: Geometric and Topological Methods (Invited)	Acacia

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>
<span style="font-size:0.8em">

MP7b-1: ESTIMATION OF SPARSELY OBSERVED SIGNALS WITH AN EMPIRICAL BAYESIAN MODEL
         James Matuk; Ohio State University
         Oksana Chkrebtii; Ohio State University
         Sebastian Kurtek; Ohio State University
 
MP7b-2: SHAPE MORPHING FOR ANALYSIS: AN OPTIMAL TRANSPORT APPROACH
         Aniruddha Adiga; North Carolina State University
         Ashkan Panahi; North Carolina State University
         Wen Tang; North Carolina State University
         Hamid Krim; North Carolina State University
 
MP7b-3: A WEIGHT METAMORPHOSIS MODEL FOR REGISTRATION OF UNBALANCED SHAPES.
         Nicolas Charon; Johns Hopkins University
 
MP7b-4: APPROXIMATE LOG-DETERMINANT DIVERGENCES BETWEEN COVARIANCE OPERATORS AND APPLICATIONS
         Minh Ha Quang; RIKEN Center for Advanced Intelligence Project

</span>
</details>


#### 18:30 - 21:30 Conference Cocktail/Social - *The Cocktail/Social takes the place of Monday’s dinner. No charge for conference attendees and a guest.* (Merrill Hall)

