Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Date: Monday, 01/Jul/2019
8:30am
-
9:30am
Registration + coffee
Location: Hall C
9:30am
-
9:40am
Introduction
Location: Amphi B00
9:40am
-
10:40am
Plenary 1: Lenka Zdeborova(CNRS)
Location: Amphi B00

Are generative models the new sparsity?
10:40am
-
11:10am
Coffee Break
Location: C101 - C103
11:10am
-
12:10pm
Oral session 1 (3 talks)
Location: Amphi B00
 

Sparsity of solutions for variational inverse problems with finite-dimensional data

Kristian BREDIES, Marcello CARIONI

Karl-Franzens-Universität Graz, Austria



Optimal Sampling Rates for Compressed Sensing Off-the-grid

Clarice POON1, Nicolas KERIVEN2, Gabriel PEYRE2

1: University of Bath, United Kingdom; 2: Ecole Normale Superieure



Bias versus Convexity in Compressed Sensing

Marcus CARLSSON

Lund University, Sweden

12:10pm
-
2:30pm
Lunch + Poster session 1
Location: C101 - C103
 

Nonsparsity influence on reconstruction time-frequency signals with sparsity constraint

Isidora STANKOVIC

Grenoble INP, University of Grenoble Alpes, France



On instabilities of deep learning in image reconstruction

Vegard ANTUN1, Francesco RENNA2, Clarice POON3, Ben ADCOCK4, Anders HANSEN5,1

1: University of Oslo, Norway; 2: Faculdade de Ciências da Universidade do Porto, Portugal; 3: University of Bath, UK; 4: Simon Fraser University, Canada; 5: University of Cambridge, UK



Density evolution of Orthogonal Matching Pursuit

Claude PETIT1, Aline ROUMY2, Giulio COLUCCIA3, Enrico MAGLI3

1: Insee, France; 2: Inria, France; 3: Politecnico di Torino, Italy



Negative Binomial Matrix Factorization for Recommender Systems

Olivier GOUVERT, Thomas OBERLIN, Cédric FÉVOTTE

IRIT, Université de Toulouse, CNRS



Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization

Louis FILSTROFF1, Alberto LUMBRERAS2, Cédric FÉVOTTE1

1: IRIT, Université de Toulouse, CNRS, France; 2: Criteo AI Lab



Bandlimited Signal Reconstruction from Nonuniform Samples

Santhosh KARNIK, Justin ROMBERG, Mark A. DAVENPORT

Georgia Institute of Technology, United States of America



A Faceted Prior for Scalable Wideband Computational Imaging

Abdullah ABDULAZIZ1, Pierre-Antoine THOUVENIN1, Ming JIANG2, Yves WIAUX1

1: Heriot-Watt University, United Kingdom; 2: École Polytechnique Fédérale de Lausanne, Switzerland



A scalable estimator of space varying blurs - application in super-resolution

Valentin DEBARNOT1, Thomas MANGEAT2, Pierre WEISS1

1: ITAV, CNRS, France; 2: CBI, CNRS, France



Deep Recurrent Brain Source Imaging

Ali HASHEMI1,2,3, Hector Andrade LOARCA1, Stefan HAUFE3, Klaus-Robert MÜLLER2,4,5,6,7, Gitta KUTYNIOK1,2

1: Institut für Mathematik, Technische Universität Berlin, Germany; 2: Electrical Engineering and Computer Science, Technische Universität Berlin, Germany; 3: Berlin Center for Advanced Neuroimaging (BCAN), Charite Universitätsmedizin Berlin, Germany; 4: Berlin Big Data Center, 10587 Berlin, Germany.; 5: Berliner Zentrum für Maschinelles Lernen, 10587 Berlin, Germany.; 6: Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, South Korea,; 7: Max Planck Institute for Informatics, Stuhlsatzenhausweg, Saarbrucken, Germany.



Exploiting regularity in sparse Generalized Linear Models

Mathurin MASSIAS1, Samuel VAITER2, Alexandre GRAMFORT1, Joseph SALMON3

1: INRIA, Université Paris-Saclay, Palaiseau, France; 2: CNRS & Institut de Mathématiques de Bourgogne, Dijon, France; 3: IMAG, Univ Montpellier, CNRS, Montpellier, France



FeTa: Fast and Efficient Pruning of Deep Neural Networks

Konstantinos PITAS1, Mike DAVIES2, Pierre VANDERGHEYSNT1

1: EPFl, Switzerland; 2: University of Edinburgh, UK



Iterative low-rank and rotating sparsity promotion for circumstellar disks imaging

Benoît PAIRET1, Faustine CANTALLOUBE2, Laurent JACQUES1

1: ISPGroup, ICTEAM, UCLouvain, Belgium; 2: Max Planck Institute for Astronomy, Germany



On the Local Minimizers of the CEL0 Relaxation

Emmanuel SOUBIES1, Laure BLANC-FÉRAUD2, Gilles AUBERT3

1: IRIT, University of Toulouse, CNRS, France; 2: University Côte d'Azur, CNRS, INRIA, i3S, France; 3: University Côte d'Azur, INS, LJAD, France



The Adaptive Dictionary Learning Toolbox

Cristian RUSU1, Karin SCHNASS2

1: IIT, Italy; 2: University of Innsbruck, Austria



Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

Cong MA1, Yuling YAN1, Yuejie CHI2, Jianqing FAN1, Yuxin CHEN1

1: Princeton University, United States of America; 2: Carnegie Mellon University, United States of America



An L0 solution to sparse approximation problems with continuous dictionaries

Mégane BOUDINEAU1, Hervé CARFANTAN1, Sébastien BOURGUIGNON2

1: IRAP, Université de Toulouse/CNRS/CNES, France; 2: LS2N, École Centrale de Nantes/CNRS, France



Distributed sparse BSS for large-scale datasets

Tobias Ignacio LIAUDAT, Jérôme BOBIN, Christophe KERVAZO

CEA, France



Learning to unmix from Poisson measurements with application to γ-spectroscopy

Jerome BOBIN1, Jiaxin XU2, Anne DE VISMES2, Christophe BOBIN3

1: CEA-DRF/IRFU, France; 2: IRSN-LMRE; 3: CEA-DRT/LIST, France



Linear convergence and support recovery for non-convex multi-penalty regularisation

Zeljko KERETA1, Johannes MALY2, Valeriya NAUMOVA1

1: Simula Research Laboratory, Norway; 2: RWTH Aachen University



Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm

Oumaima EL MANSOURI1, Adrian BASARB1, Fabien VIDAL1,2, Denis KAOUME1, Jean-yves TOURNERET1

1: University of Toulouse, IRIT, CNRS, INP-ENSEEIHT, Université Paul Sabatier Toulouse 3, France; 2: CHU Toulouse, Obstetrics Gynecology Department, Paule de viguier Hospital Toulouse F-31059, France



Spatially-filtered temporal dictionary learning for calciumimaging analysis

Gal MISHNE1, Nathan CERMAK2, Jackie SHILLER2, Adam CHARLES3

1: Yale University, United States of America; 2: Technion, Israel Institute of Technology, Israel; 3: Princeton University, United States of America



Tensor-Free Algorithms for Convex Liftings of Bilinear Inverse Problems with Applications to Masked Phase Retrieval

Robert BEINERT, Kristian BREDIES

University of Graz, Austria



A New Perspective on L1-Analysis Recovery

Martin GENZEL, Gitta KUTYNIOK, Maximilian MÄRZ

Technische Universität Berlin, Germany



Compressed Diffusion

Scott GIGANTE1, Jay S STANLEY III1, Ngan VU1, David VAN DIJK1, Kevin R MOON2, Guy WOLF3, Smita KRISHNASWAMY1

1: Yale University, United States of America; 2: Utah State University, United States of America; 3: Université de Montréal, Canada



Towards Theoretically-Founded Learning-Based Denoising

Wenda ZHOU1, Shirin JALALI2

1: Columbia University, United States of America; 2: Nokia Bell Labs



Graph Based Trajectory Mining

Francesco GRASSI, Nauman SHAHID

United Technologies Research Center, Ireland



Learned Matching Pursuit: a Deep Neural Network for Sparse Approximation

Mehrdad YAGHOOBI

University of Edinburgh, United Kingdom



A Theoretical Study of Adversarial Examples

Ali SHAFAHI1, Ronny HUANG1, Christoph STUDER2, Soheil FEIZI1, Tom GOLDSTEIN1

1: University of Maryland; 2: Cornell University



Linear Simplex Support Vector Regression

Quentin KLOPFENSTEIN1, Samuel VAITER1,2

1: Institut Mathématiques de Bourgogne, France; 2: CNRS, France

2:30pm
-
3:30pm
Plenary 2: Pier Luigi Dragotti (Imperial College London)
Location: Amphi B00

Timing is everything: Sparse sampling based on time-encoding machines
3:30pm
-
4:10pm
Oral session 2 (2 talks)
Location: Amphi B00
 

Cluster-based Optimal Transport Alignment

John LEE, Eva DYER, Christopher J. ROZELL

Georgia Institute of Technology, United States of America



Optimal Transport of Measures in Frequency Domain

Laurent CONDAT

CNRS and Univ. Grenoble Alpes, France

4:10pm
-
4:40pm
Coffee Break
Location: C101 - C103
4:40pm
-
5:40pm
Oral session 3 (3 talks)
Location: Amphi B00
 

On the non-convex sparse spike estimation problem: explicit basins of attractions of global minimizers

Yann TRAONMILIN1,3, Jean-François AUJOL2,3

1: CNRS; 2: Université de Bordeaux; 3: Institut de mathématiques de Bordeaux



A Unified Framework for the Convergence Analysis of Optimization Algorithms via Sum-of-Squares

Sandra S. Y. TAN, Antonios VARVITSIOTIS, Vincent Y. F. TAN

National University of Singapore, Singapore



Eventual linear convergence rate of an exchange algorithm for superresolution.

Axel FLINTH1, Fréderic DE GOURNAY1, Pierre WEISS2,3

1: Université de Toulouse, France; 2: CNRS; 3: Institut des Technologies Avancées du Vivant

7:30pm
-
9:30pm
Welcoming reception
Location: Le Moaï restaurant
Date: Tuesday, 02/Jul/2019
9:00am
-
10:00am
Plenary 3: Mark Davenport (Georgia Institute of Technology)
Location: Amphi B00

Subspaces and sparsity on the continuum
10:00am
-
10:40am
Oral session 4 (2 talks)
Location: Amphi B00
 

Matrix “Desketching”: Unlifted but Convex

Sohail BAHMANI1, Kiryung LEE2

1: Georgia Institute of Technology, United States of America; 2: Ohio State University, United States of America



Matrix rigidity and the ill-posedness of Robust PCA and matrix completion

Jared TANNER1,3, Andrew THOMPSON2, Simon VARY1

1: University of Oxford, United Kingdom; 2: National Physical Laboratory, United Kingdom; 3: The Alan Turing Institute, United Kingdom

10:40am
-
11:10am
Coffee Break
Location: C101 - C103
11:10am
-
12:10pm
Oral session 5 (3 talks)
Location: Amphi B00
 

Universal sparsity of deep ReLU networks

Dennis ELBRÄCHTER1, Helmut BÖLCSKEI2, Philipp GROHS1, Dmytro PEREKRESTENKO2

1: University of Vienna, Austria; 2: ETH Zurich, Switzerland



Error bounds for approximations with deep ReLU neural networks in Sobolev norms

Ingo GÜHRING1, Gitta KUTYNIOK1, Philipp PETERSEN2

1: Technische Universität Berlin, Germany; 2: University of Oxford, United Kingdom



Emergent Sparsity in Variational Autoencoder Models

Bin DAI1, David WIPF2

1: Tsinghua University, China, People's Republic of; 2: Microsoft Research, China, People's Republic of

12:10pm
-
2:30pm
Lunch + Poster session 2
Location: C101 - C103
 

Improving Graph Trend Filtering with Non-Convex Penalties

Rohan VARMA1, Harlin LEE1, Yuejie CHI1, Jelena KOVAČEVIĆ2

1: Dept. of Electrical and Computer Engineering, Carnegie Mellon University, United States of America; 2: Tandon School of Engineering, New York University, United States of America



Robust Incorporation of Signal Predictions into the Sparse Bayesian Learning Framework

Matthew O'SHAUGHNESSY, Mark DAVENPORT, Christopher ROZELL

Georgia Institute of Technology, United States



Tensor and Coupled Decompositions in Block Terms: Uniqueness and Irreducibility

Dana LAHAT1,2,3, Christian JUTTEN4,1,5,6

1: CNRS, France; 2: IRIT, France; 3: Université de Toulouse, France; 4: Univ. Grenoble Alpes, France; 5: Grenoble INP, France; 6: GIPSA-lab, France



Why deep learning methods for inverse problems typically become unstable

Nina Maria GOTTSCHLING, Anders Christian HANSEN

University of Cambridge, United Kingdom



Accelerating First-Order Methods via Linear Prediction

Clarice POON1, Jingwei LIANG2

1: University of Bath, United Kingdom; 2: University of Cambridge, United Kingdom



Active embedding search via noisy paired comparisons

Gregory Humberto CANAL, Andrew Kenneth MASSIMINO, Mark Andrew DAVENPORT, Christopher John ROZELL

Georgia Institute of Technology, United States of America



Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction

Zaccharie RAMZI1,2,3, Philippe CIUCIU1,2, Jean-Luc STARCK3

1: CEA - Neurospin, Gif-sur-Yvette, France; 2: INRIA - Parietal, Gif-sur-Yvette, France; 3: CEA - Cosmostat, Gif-sur-Yvette, France



Compressed sensing and the synthesis formulation

Claire BOYER1, Jonas KAHN2, Maximilian MARZ3, Pierre WEISS2

1: Sorbonne Université; 2: CNRS, Université de Toulouse; 3: Technische Universitat Berlin



Compressive k-Means with Differential Privacy

Vincent SCHELLEKENS1, Antoine CHATALIC2, Florimond HOUSSIAU3, Yves-Alexandre DE MONTJOYE3, Laurent JACQUES1, Rémi GRIBONVAL2

1: ICTEAM/ELEN, UCLouvain; 2: Univ Rennes, Inria, CNRS, IRISA; 3: Imperial College London



Compressive Phase Retrieval of Structured Signal

Milad BAKHSHIZADEH1, Arian MALEKI1, Shirin JALALI2

1: Columbia University, United States of America; 2: Nokia-Bell labs



Fusion of hyperspectral and multispectral infrared astronomical images

Claire GUILLOTEAU1,2, Thomas OBERLIN1, Olivier BERNE2, Nicolas DOBIGEON1

1: IRIT-ENSEEIHT, France; 2: IRAP, France



GLIMPS: A Greedy Mixed-Integer Approach for Super Robust Matched Subspace Detection

Md Mahfuzur RAHMAN, Daniel PIMENTEL-ALARCÓN

Georgia State University, United States of America



Learning to Solve Inverse Problems with Neumann Networks

Davis GILTON1, Greg ONGIE2, Rebecca WILLETT2

1: University of Wisconsin-Madison; 2: University of Chicago



Local Convolutive Independent Vector Analysis for Reverberant Blind Source Separation

Fangchen FENG1, Matthieu KOWALSKI2

1: APC, Univ. Paris Diderot, CNRS/IN2P3 CEA/Irfu, Obs. de Paris, Sorbonne Paris Cité; 2: Laboratoire des signaux et systèmes, Univ Paris-Sud, CNRS, CentraleSupélec, France



Non-uniform recovery guarantees for binary measurements

Laura THESING, Anders Christian HANSEN

University of Cambridge, United Kingdom



Nullspace Conditions for Block-Sparse Semidefinite Systems

Janin HEUER1, Frederic MATTER2, Marc E. PFETSCH2, Thorsten THEOBALD3

1: TU Braunschweig, Germany; 2: TU Darmstadt Germany; 3: Goethe-Universität Frankfurt am Main, Germany



Numerical Computation for Orthogonal Low Rank Approximation of Tensors

Yu GUAN

Université catholique de Louvain



On the Weighting for Convolutional Sparse Coding

Diego CARRERA1, Alessandro FOI2, Giacomo BORACCHI3, Brendt WOHLBERG4

1: STMicroelectronics, Italy; 2: Tampere University, Finland; 3: Politecnico di Milano, Italy; 4: Los Alamos National Laboratory, USA



One-Bit Compressed Sensing by Convex Relaxation of the Hamming Distance

Hans Christian JUNG1, Johannes MALY1, Lars PALZER2, Alexander STOLLENWERK1

1: RWTH Aachen University, Germany; 2: Technical University of Munich, Germany



Outlier Detection Using Generative Models with Theoretical Performance Guarantees

Jirong YI1, Duc Anh LE1, Tianming WANG2, Xiaodong WU1, Weiyu XU1

1: Department of Electrical and Computer Engineering, University of Iowa, United States of America; 2: Institute of Computational Engineering and Science, University of Texas, United States of America



Reconstruction of partially sampled STEM-EELS images with atomic resolution

Etienne MONIER1, Thomas OBERLIN1, Nathalie BRUN2, Nicolas DOBIGEON1

1: University of Toulouse, IRIT/INP-ENSEEIHT, Toulouse; 2: Laboratoire de Physique des Solides, CNRS UMR 8502, Univ. Paris-Sud, Univ. Paris-Saclay



Relaxed contractivity conditions for dictionary learning via Iterative Thresholding and K residual Means

Marie-Christine PALI1, Karin SCHNASS1, Alexander STEINICKE2

1: University of Innsbruck, Austria; 2: University of Leoben, Austria



Robust penalized inference for Gaussian Scale Mixtures

Karina ASHURBEKOVA1,2,3, Sophie ACHARD1,2,4, Florence FORBES1,3,4

1: Univ. Grenoble Alpes, France; 2: GIPSA-lab; 3: INRIA; 4: CNRS



Simultaneous Inference and Denoising of Student-t Mixtures from Noisy Observations

Afonso TEODORO, Mário FIGUEIREDO

Instituto de Telecomunicações and Instituto Superior Técnico, University of Lisbon, Portugal



Sparse Dictionaries for Continuous-Domain Inverse Problems

Thomas DEBARRE, Shayan AZIZNEJAD, Michael UNSER

EPFL, Switzerland



Fast Numerical Methods for Convex Problems with Optimal Transport Regularization

John LEE, Christopher J. ROZELL

Georgia Institute of Technology, United States of America



Learning Fast Magnetic Resonance Imaging

Tomer WEISS1, Sanketh VEDULA1, Ortal SENOUF1, Alex BRONSTEIN1, Michael ZIBULEVSKY1, Oleg MICHAILOVICH2

1: Technion, Israel; 2: University of Waterloo, Canada



Regularized Newton Sketch by Denoising Score Matching for Computed Tomography Reconstruction

Alessandro PERELLI, Martin S. ANDERSEN

Technical University of Denmark - DTU, Denmark



Sparse Nonnegative Tensor Decomposition for EEG Data

Deqing WANG1,2, Fengyu CONG1,2, Tapani RISTANIEMI2

1: School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China; 2: Faculty of Information Technology, University of Jyväskylä, Jyväskylä 40100, Finland



Adaptive mixed grey wolf optimizer: toolbox for illustration and comparative study

Julien MAROT

Institut Fresnel, Aix Marseille Universite, France

2:30pm
-
3:30pm
Plenary 4: Simon Thorpe (CNRS)
Location: Amphi B00

Ultra-Sparse Representations in Neural Networks : Biological Inspiration for Artificial Intelligence?
3:30pm
-
4:10pm
Oral session 6 - Student Contest (2 talks)
Location: Amphi B00
 

Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise

Quentin BERTRAND1, Mathurin MASSIAS1, Alexandre GRAMFORT1, Joseph SALMON2

1: INRIA Saclay, France; 2: IMAG,Univ Montpellier, CNRS, Montpellier, France



A Fast Holistic Algorithm for Complete Dictionary Learning via L^4 Norm Maximization

Yuexiang ZHAI1,2, Zitong YANG1, Zhenyu LIAO2, John WRIGHT3, Yi MA1

1: UC Berkeley; 2: ByteDance Research Lab; 3: Columbia University

4:10pm
-
4:40pm
Coffee Break
Location: C101 - C103
4:40pm
-
5:40pm
Oral session 7 - Student Contest (3 talks)
Location: Amphi B00
 

Generalized Conditional Gradient with Augmented Lagrangian for Composite Optimization

Antonio José SILVETI-FALLS, Cesare MOLINARI, Jalal FADILI

ENSICAEN, France



Low-rank matrix completion and denoising under Poisson noise

Andrew MCRAE, Mark DAVENPORT

Georgia Institute of Technology, United States of America



Subspace Tracking with Missing Data and Matrix Completion

Praneeth NARAYANAMURTHY, Vahid DANESHPAJOOH, Namrata VASWANI

Iowa State University, United States of America

Date: Wednesday, 03/Jul/2019
9:00am
-
10:00am
Plenary 5: Bhaskar Rao (UC San Diego)
Location: Amphi B00

Sparse Bayesian Learning: A Beamforming and Toeplitz Approximation Perspective
10:00am
-
10:40am
Oral session 8 (2 talks)
Location: Amphi B00
 

Self-supervised learning of inverse problem solvers in medical imaging

Ortal SENOUF1, Sanketh VEDULA1, Tomer WEISS1, Alex BRONSTEIN1, Oleg MICHAILOVICH2, Michael ZIBULEVSKY1

1: Technion, Israel; 2: University of Waterloo, Canada



Block-Gaussian-Mixture Priors for Hyperspectral Denoising

Afonso TEODORO, José BIOUCAS-DIAS, Mário FIGUEIREDO

Instituto de Telecomunicações and Instituto Superior Técnico, University of Lisbon, Portugal

10:40am
-
11:10am
Coffee Break
Location: C101 - C103
11:10am
-
12:10pm
Oral session 9 (3 talks)
Location: Amphi B00
 

Multiple-Kernel Regression with Sparsity Constraints

Shayan AZIZNEJAD, Michael UNSER

Ecole Polytechnique Federale de Lausanne, Switzerland



Sketched Clustering via Hybrid GAMP

Evan BYRNE1, Antoine CHATALIC2, Remi GRIBONVAL2, Philip SCHNITER1

1: The Ohio State University, United States of America; 2: Univ. Rennes, Inria, CNRS, IRISA, France



SLOPE for Sparse Linear Regression: Exact Asymptotics and Optimal Sequence Designs

Hong HU, Yue M. LU

Harvard University

12:10pm
-
2:30pm
Lunch + Poster session 3
Location: C101 - C103
 

Sparse Group Model Selection

Bubacarr BAH1, Jannis KURTZ2, Oliver SCHAUDT3

1: AIMS South Africa, & Stellenbosch University; 2: RWTH Aachen University, Germany; 3: Research and Development, ZF Group, Germany



Sparse Signal Reconstruction with a Sign Oracle

Arthur MARMIN1, Marc CASTELLA2, Jean-Christophe PESQUET1

1: Center for Visual Computing, CentraleSupélec, INRIA, Université Paris-Saclay, France; 2: SAMOVAR, Télécom SudParis, CNRS, Université Paris-Saclay, CNRS, France



Stacked Sparse Non-Linear Blind Source Separation

Christophe KERVAZO, Jérôme BOBIN

CEA Saclay, France



Weighted group sparse compressed sensing for parametric function approximation

Jean-Luc BOUCHOT

Beijing Institute of Technology, China, People's Republic of



Deep learning for Magnetic Resonance Fingerprinting

Mohammad GOLBABAEE1, Dongdong CHEN2, Mike DAVIES2, Carolin M. PIRKL3, Marion MENZEL3, Pedro A. GOMEZ3

1: University of Bath, United Kingdom; 2: University of Edinburgh, United Kingdom; 3: Technical University of Munich (TUM), GE Healthcare



A Rate-Distortion Framework for Explaining Deep Neural Network Decisions

Jan MACDONALD, Stephan WAELDCHEN, Sascha HAUCH, Gitta KUTYNIOK

Technische Universität Berlin, Germany



Alternating Minimization for Max-Affine Regression

Avishek GHOSH, Ashwin PANANJADY, Aditya GUNTUBOYINA, Kannan RAMCHANDRAN

University of California, Berkeley, United States of America



Deep Post-Processing for Sparse Image Deconvolution

Matthieu TERRIS1, Abdullah ABDULLAZIZ1, Arwa DABBECH1, Ming JIANG2, Audrey REPETTI1, Jean-Christophe PESQUET3, Yves WIAUX1

1: Heriot Watt University, United Kingdom; 2: Ecole Polytechnique Fédérale de Lausanne; 3: CentraleSupélec, Université Paris Saclay, Inria



Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithm

Ramzi BEN MHENNI1, Sébastien BOURGUIGNON1, Jordan NININ2

1: LS2N, Ecole Centrale de Nantes, Nantes, France; 2: Lab-STICC, ENSTA Bretagne, Brest, France



Learning beamforming in ultrasound imaging

Sanketh VEDULA1, Ortal SENOUF1, Grigoriy ZURAKHOV1, Alex BRONSTEIN1, Oleg MICHAILOVICH2, Michael ZIBULEVSKY1

1: Technion, Israel; 2: University of Waterloo, Canada



Local Linear Convergence of Variance Reduced Stochastic Gradient Methods for Low Complexity Regularization

Clarice POON1, Jingwei LIANG2, Carola-Bibiane SCHÖNLIEB3

1: University of Bath, United Kingdom; 2: University of Cambridge, United Kingdom; 3: University of Cambridge, United Kingdom



On the existence of stable and accurate neural networks for image reconstruction

Matthew John COLBROOK, Vegard ANTUN, Anders Christian HANSEN

University of Cambridge, United Kingdom



A Novel Smoothed Norm Ratio for Sparse Signal Restoration: Application to Mass Spectrometry

Afef CHERNI1, Emilie CHOUZENOUX2, Laurent DUVAL3, Jean-Christophe PESQUET2

1: Aix Marseille Univ., CNRS, Centrale Marseille, I2M, Marseille, France.; 2: CVN, CentraleSupélec, INRIA Saclay and Univ. Paris Saclay.; 3: IFP Energies nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison Cedex



Reweighted l1 minimization for audio inpainting

Ondřej MOKRÝ, Pavel RAJMIC

Brno University of Technology, Czech Republic



Scanning Probe Microscopy with Continuous Line Probe

Han-Wen KUO, Anna Elisabeth DORFI, Daniel ESPOSITO, John WRIGHT

Columbia University, United States of America



Tensor-structured Dictionaries for Hyperspectral Imaging

Cássio F. DANTAS, Jérémy E. COHEN, Rémi GRIBONVAL

Univ Rennes, Inria, CNRS, IRISA



Advances in the recovery of binary sparse signals

Sophie M. FOSSON

Politecnico di Torino, Italy



An algorithm with recovery guarantees for Expander Dictionary Learning

Michael James MURRAY1,2, Jared Tanner TANNER1,2

1: University of Oxford, United Kingdom; 2: The Alan Turing Institute



Anomaly Detection in Wind Turbine Drivetrain Bearings using Sparse Coding with Dictionary Learning

Sergio MARTIN-DEL-CAMPO, Fredrik SANDIN

Luleå University of Technology, Sweden



Compressed Sensing of Image Sequences via Multiple Total Variation

Shih-Wei HU, Gang-Xuan LIN, Sung-Hsien HSIEH, Chun-Shien LU

Academia Sinica, Taiwan



Image Recovery by Generative Models and Back-Projections

Tom TIRER1, Raja GIRYES2

1: Tel Aviv University, Israel; 2: Tel Aviv University, Israel



Parallel Cut Pursuit For Minimization of the Graph Total-Variation

Hugo RAGUET1, Loic LANDRIEU2

1: INSA Centre Val-de-Loire, Université de Tours, LIFAT, France; 2: Université Paris-Est, LASTIG, MATIS, IGN, ENSG, France



Precise Recovery in Two-Dimensional Blind Super-Resolution via Convex Optimization

Mohamed Abdalla Elhag SULIMAN, Wei DAI

Imperial College London, United Kingdom



Reconstruction of FRI Signals using Deep Neural Networks

Vincent Chi Hang LEUNG, Jun-Jie HUANG, Pier Luigi DRAGOTTI

Imperial College London, United Kingdom



Sparse BSS with spectral variabilities

Imane EL HAMZAOUI, Jérôme BOBIN

CEA, France



Jointly sparse recovery via manifold optimization

Armenak PETROSYAN, Hoang TRAN, Clayton WEBSTER

Oak Ridge National Laboratory, United States of America



Short-and-Sparse Deconvolution - A Geometric Approach

Yenson LAU1, Qing QU2, Han-Wen KUO1, Pengcheng ZHOU3, Yuqian ZHANG4, John WRIGHT1,5

1: Department of Electrical Engineering and Data Science Institute, Columbia University; 2: Center for Data Science, New York University; 3: Center for Neurocience, Columbia University; 4: Department of Computer Science, Cornell University; 5: Department of Applied Physics and Applied Mathematics, Columbia University



Separability/identifiability properties of low-rank matrix factorization methods for bilinear mixtures of source signals

Yannick DEVILLE

University of Toulouse, France



An IRLS Approach for Low-Rank Matrix Factorization

Paris GIAMPOURAS, Athanasios RONTOGIANNIS, Konstantinos KOUTROUMBAS

National Observatory of Athens, Greece

2:30pm
-
3:30pm
Plenary 6: Yuejie Chi (Carnegie Mellon University)
Location: Amphi B00

Geometry and Regularization in Nonconvex Low-Rank Estimation
3:30pm
-
4:10pm
Oral session 10 (2 talks)
Location: Amphi B00
 

Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements

Seyedehsara NAYER, Praneeth NARAYANAMURTHY, Namrata VASWANI

Iowa State University, United States of America



The Analysis of Spectral Initialization for Phase Retrieval with Random Orthogonal Matrices

Rishabh DUDEJA, Milad BAKHSHIZADEH, Junjie MA, Arian MALEKI

Columbia University, United States of America

4:10pm
-
4:40pm
Coffee Break
Location: C101 - C103
4:40pm
-
6:00pm
Special Talk : Michael Jordan (UC Berkeley)
Location: Amphi B00

Machine Learning: Dynamical, Statistical and Economic Perspectives
8:00pm
-
11:00pm
SPARS Banquet
Location: Hôtel Dieu
Date: Thursday, 04/Jul/2019
9:00am
-
10:00am
Plenary 7: Emilie Chouzenoux (University Paris-Est)
Location: Amphi B00

Proximal approaches for matrix optimization problems
10:00am
-
10:40am
Oral session 11 (2 talks)
Location: Amphi B00
 

The fastest L1,oo prox in the west

Benjamin BEJAR1, Ivan DOKMANIC2, Rene VIDAL1

1: The Johns Hopkins University, United States of America; 2: University of Illinois at Urbana Champaign, United States of America



Nonlinear matrix recovery

Florentin GOYENS1, Coralia CARTIS1, Armin EFTEKHARI2, Greg ONGIE3

1: University of Oxford, United Kingdom; 2: EPFL, Lausanne; 3: University of Chicago

10:40am
-
11:10am
Coffee Break
Location: C101 - C103
11:10am
-
12:10pm
Oral session 12 (3 talks)
Location: Amphi B00
 

A Spectral Method for Estimating Low-Rank Subspaces from Nonlinear Measurements

Wangyu LUO, Yue M. LU

Harvard University, United States of America



Iterative Hard Thresholding for Low-Rank Recovery from Rank-One Projections

Simon FOUCART, Srinivas SUBRAMANIAN

Texas A&M University, United States of America



High-dimensional change point localization from noisy linear projections

Daren WANG1, Kevin LIN2, Rebecca WILLETT3

1: Department of Statistics,University of Chicago; 2: Department of Statistics and Data Science, Carnegie Mellon University; 3: Department of Computer Science and Statistics, University of Chicago

12:10pm
-
2:30pm
Lunch + Poster session 4
Location: C101 - C103
 

Structured Signal Recovery from Quadratic Measurements

Kaihui LIU1, Feiyu WANG2, Liangtian WAN3

1: University of Electronic Science and Technology of China; 2: University of Electronic Science and Technology of China; 3: Dalian University of Technology



The Sliding Frank-Wolfe Algorithm for the BLASSO

Quentin DENOYELLE1, Vincent DUVAL2, Gabriel PEYRE3, Emmanuel SOUBIES4

1: EPFL, BIG; 2: INRIA Paris, MOKAPLAN; 3: CNRS, ENS; 4: CNRS, IRIT



Tissue Reflectivity Function Restoration from Fundamental and Harmonic Ultrasound Images

Mohamad HOURANI1, Adrian BASARAB2, Denis KOUAME2, Jean-Yves TOURNERET1

1: University of Toulouse, INP-ENSEEIHT, IRIT, CNRS UMR 5505; 2: University of Toulouse, Université Paul Sabatier,IRIT, CNRS UMR 5505



A Fully Convolutional Network for MR Fingerprinting

Dongdong CHEN1, Mohammad GOLBABAEE2, Pedro A. GOMEZ3,4, Marion I. MENZEL3, Mike E. DAVIES1

1: The University of Edinburgh, United Kingdom; 2: University of Bath, United Kingdom; 3: Technical University of Munich, Germany; 4: GE Healthcare, Germany



Efficient Approximation of Solutions of Parametric PDEs by ReLU Neural Networks

Gitta KUTYNIOK1, Philipp PETERSEN2, Mones RASLAN1, Reinhold SCHNEIDER1

1: Technische Universität Berlin, Germany; 2: University of Oxford, United Kingdom



An Inexact Augmented Lagrangian Framework for Non-Convex Optimization with Nonlinear Constraints

Mehmet Fatih SAHIN, Armin EFTEKHARI, Ahmet ALACAOGLU, Fabian LATORRE, Volkan CEVHER

EPFL, Switzerland



Ergodic bilevel optimization

Christoph BRAUER, Dirk LORENZ

TU Braunschweig, Germany



Learning low-dimensional surfaces and functions

Qing ZOU, Mathews JACOB

University of Iowa, United States of America



Unsupervised parameter selection in variational regularization

Zeljko KERETA1, Ernesto DE VITO2, Valeriya NAUMOVA1

1: Simula Research Laboratory, Norway; 2: Universita di Genova, DIMA, Italy



Exact recovery analysis of non-negative orthogonal matching pursuit

Thanh T. NGUYEN1, Charles SOUSSEN2, Jerome IDIER3, El-Hadi DJERMOUNE1

1: CRAN, Universite de Lorraine, France; 2: L2S, CentraleSupelec, France; 3: LS2N, CNRS, France



Manifold Alignment by Feature Correspondence

Jay S STANLEY III1, Scott GIGANTE1, Guy WOLF2, Smita KRISHNASWAMY1

1: Yale University, United States of America; 2: Université de Montréal, Canada



A Deep Analysis Dictionary Model

Jun-Jie HUANG, Pier Luigi DRAGOTTI

Imperial College London, United Kingdom



A recipe for inexact certificates in $\ell_1$-analysis interpolation

Rodrigo CERQUEIRA GONZALEZ PENA

EPFL, Switzerland



Distributed First-Order Optimization with Tamed Communications

Dmitry GRISHCHENKO1, Franck IUTZELER1, Jerome MALICK2

1: University Grenoble Alpes; 2: CNRS



Exact recovery of partially sparse vectors

Christoph BRAUER1, Dirk LORENZ1, Andreas TILLMANN2

1: TU Braunschweig, Germany; 2: RWTH Aachen University, Germany



Flexible sparse regularization with general non-convex penalties

Dirk LORENZ1, Elena RESMERITA2

1: TU Braunschweig, Germany; 2: Alpen-Adria Universität Klagenfurt, Austria



Hyperspectral Uncertainty Quantification by Optimization

Abdullah ABDULAZIZ, Audrey REPETTI, Yves WIAUX

Heriot-Watt University, United Kingdom



Label-consistent sparse auto-encoders

Thomas ROLLAND1,2, Adrian BASARAB1, Thomas PELLEGRINI1

1: IRIT, Université Paul Sabatier, CNRS; 2: INESC-ID



Natural Variation Transfer using Learned Manifold Operators

Marissa CONNOR1, Benjamin CULPEPPER2, Huy NGUYEN2, Christopher ROZELL1

1: Georgia Institute of Technology, United States of America; 2: Yahoo! Research, United State of America



NMF-based sparse unmixing of complex mixtures.

Afef CHERNI1, Elena PIERSANTI2, Caroline CHAUX1

1: Aix Marseille Univ, CNRS, Centrale Marseille, I2M, Marseille, France.; 2: Aix Marseille Univ, CNRS, Centrale Marseille, iSM2, Marseille, France.



Performance of Compressive Sensing for Hadamard-Haar Systems

Amirafshar MOSHTAGHPOUR1, José M. BIOUCAS DIAS2, Laurent JACQUES1

1: ISPGroup, ICTEAM/ELEN, UCLouvain, Belgium; 2: IT, IST, Universidade de Lisboa, Portugal



Robust Super-Resolution via Deep Learning and TV Priors

Marija VELLA, Colin RICKMAN, Joao F.C. MOTA

Heriot-Watt University, United Kingdom



Sampling over spiraling curves

Felipe NEGREIRA1, Philippe JAMING1, José Luis ROMERO2,3

1: Université de Bordeaux, France; 2: Faculty of Mathematitcs, University of Vienna; 3: Acoustics Research Institute, Austrian Academy of Science



Stochastic Signal Processing in Phase Space

Ron LEVIE1, Haim AVRON2, Gitta KUTYNIOK1

1: Technische Universität Berlin, Germany; 2: Tel Aviv University, Israel



Tight Framelets and Fast Framelet Filter Bank Transforms on Manifolds

Yu Guang WANG1, Xiaosheng ZHUANG2

1: The University of New South Wales, Sydney, Australia; 2: City University of Hong Kong, Hong Kong S.A.R. (China)



On variable splitting for Markov chain Monte Carlo

Maxime VONO1, Nicolas DOBIGEON1, Pierre CHAINAIS2

1: University of Toulouse - INP/ENSEEIHT (IRIT), France; 2: Ecole Centrale de Lille (CRIStAL), France



Fast Double-coupled Nonnegative Tensor Decomposition

Xiulin WANG1,2, Tapani RISTANIEMI2, Fengyu CONG1,2

1: Dalian University of Technology, China, People's Republic of; 2: University of Jyväskylä, Finland



Structured Discrete Shape Approximation

Andreas Michael TILLMANN, Leif KOBBELT

RWTH Aachen University, Germany



Antisparse Blind Source Separation

Renan Del Buono BROTTO1, Kenji NOSE-FILHO2, João Marcos Travassos ROMANO1

1: University of Campinas, Brazil; 2: Federal University of ABC

2:30pm
-
3:30pm
Plenary 8: Monika Dörfler (University of Vienna)
Location: Amphi B00

Pre-processing data for deep learning? The balance between discriminability and invariance
3:30pm
-
4:30pm
Oral session 13 (3 talks)
Location: Amphi B00
 

A good reason for using OMP: average case results

Karin SCHNASS

University of Innsbruck, Austria



Universal Sparse Representation

Rotem MULAYOFF, Tomer MICHAELI

Technion, Israel



Uniform k-step recovery with CMF dictionaries

Clément ELVIRA1, Rémi GRIBONVAL1, Charles SOUSSEN2, Cédric HERZET1

1: Univ Rennes, Inria, CNRS, IRISA; 2: L2S, CentraleSupélec-CNRS-Université Paris-Saclay

4:30pm
-
4:40pm
Closing remarks
Location: Amphi B00

 
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