| Monday, July 3 |
08:00-09:00
Registration
09:00-09:15
Opening
09:15-10:15
Plenary lecture I: Laura Waller (University of California); Computational Imaging for 3D Microscopy
Room: A
10:15-10:40
Coffee
10:40-12:45
Invited Session I: Shannon sampling 100 years after his birth – Götz Pfander, Ahmed Zayed
Room: A
| 10:40 | A Sampling Theorem for Symmetric Polygons – David Walnut |
| 11:05 | Sharp Sampling Theorems in Shift-invariant Spaces – Karlheinz Groechenig; José Luis Romero; Joachim Stoeckler |
| 11:30 | Energy Blowup for System Approximations and Carleson’s Theorem – Holger Boche; Ullrich J Mönich |
| 11:55 | On Unlimited Sampling – Ayush Bhandari; Felix Krahmer; Ramesh Raskar |
| 12:20 | Multivariate Sampling Theory-A Tutorial Review – Abdul Jerri |
General Session I: Reconstructions
Room: B
| 10:40 | Sampling Architectures for Ultra-Wideband Signals – Stephen D. Casey; Howard Cohl |
| 11:05 | Sobolev Error Estimates for Filtered Back Projection Reconstructions – Matthias Beckmann; Armin Iske |
| 11:30 | Sampling from binary measurements – On Reconstructions from Walsh coefficients – Laura Terhaar; Anders Hansen |
| 11:55 | A Brief Theory of Guided Signal Reconstruction – Andrew V. Knyazev; Akshay Gadde; Hassan Mansour; Dong Tian |
| 12:20 | Interpolation of Sparse Graph Signals by Sequential Adaptive Thresholds – Mahdi Boloursaz Mashhadi; Maryam Fallah; Farokh Marvasti |
12:45-14:15
Lunch
14:15-15:55
Invited Session II: Dynamical sampling – Akram Aldroubi, Jean-Luc Bouchot
Room: A
| 14:15 | Frame Scalability in Dynamical Sampling – Roza Aceska; Yeon Hyang Kim |
| 14:40 | Phase retrieval of evolving signals from space-time samples – Akram Aldroubi; Ilya Krishtal; Sui Tang |
| 15:05 | Finite Sensor Dynamical Sampling – Carlos Cabrelli; Ursula M. Molter; Victoria Paternostro; Friedrich Philipp |
| 15:30 | Spatiotemporal Sampling Trade-off for Inverse Diffusion Source Problems – John Murray-Bruce; Pier Luigi Dragotti |
General Session II: Harmonic Analysis methods
Room: B
| 14:15 | Riesz bounds for prolate shifts – Jeffrey Hogan; Joseph Lakey |
| 14:40 | Generalized Absolute Convergence of the Series of Fourier Coefficients with Respect to Haar Type Systems – Boris Golubov |
| 15:05 | Around Kotelnikov-Shannon formula – Maria Skopina |
| 15:30 | A Planar Large Sieve and Sparsity of Time-Frequency Representations – Michael Speckbacher; Luís Daniel Abreu |
15:55-16:20
Coffee
16:20-18:00
Invited Session III: Mathematical data processing with optimization – Afonso Bandeira, Dustin Mixon, Deanna Needell
Room: A
| 16:20 | A Sampling Theorem for Deconvolution of Point Sources – Carlos Fernandez-Granda; Brett Bernstein |
| 16:45 | A semidefinite program for unbalanced multisection in the stochastic block model – Amelia Perry; Alexander Wein |
| 17:10 | Fast Least Squares Pursuits for Sparse Recovery – Guy Leibovitz; Raja Giryes |
| 17:35 | Manifold optimization for kmeans clustering – Timothy Carson; Soledad Villar; Dustin G. Mixon; Rachel Ward |
General Session III: Gabor frames
Room: B
| 16:20 | Commutative properties of invertible multipliers in relation to representation of their inverses – Diana Stoeva; Peter Balazs |
| 16:45 | Detection and Description of Scale Invariant Interest Points with Shearlets – Miguel Alejandro Duval Poo; Nicoletta Noceti; Francesca Odone; Ernesto De Vito |
| 17:10 | Invariance and Stability of Gabor Scattering for Music Signals – Roswitha Bammer; Monika Doerfler |
| 17:35 | Irregular Orthonormal Gabor Basis in Finite Dimensions and Applications – Goetz E Pfander; Weiqi Zhou |
19:00-21:00
Welcome at Tallinn University, Narva Str 29
| Tuesday, July 4 |
08:30-09:30
Plenary lecture II: Justin Romberg (Georgia Institute of Technology); New Directions in Phase Retrievel and Blind Deconvolution
Room: A
9:30-9:50
Coffee
09:50-11:55
Invited Session IV: Sampling and Geometry – Stephen Casey, Gestur Olafsson, Jens Christensen
Room: A
| 9:50 | Analysis of Shearlet Coorbit Spaces in Dimension Three – Hartmut Führ; René Koch |
| 10:15 | Fourier extension and Sampling on the sphere – Daniel Potts; Niel Van Buggenhout |
| 10:40 | Optimal-Dimensionality Sampling on the Sphere: Improvements and Variations – Wajeeha Nafees; Zubair Khalid; Rodney Andrew Kennedy; Jason McEwen |
| 11:05 | Sampling and Weyl’s Law on compact Riemannian manifolds – Isaac Pesenson |
| 11:30 | The Poisson Summation Formula and the Selberg Trace Formula – Stephen D. Casey |
General Session IV: Graphs / Stochastics
Room: B
| 9:50 | A Unified View of Diffusion Maps and Signal Processing on Graphs – Ayelet Heimowitz; Yonina C. Eldar |
| 10:15 | Estimation of Varying Bandwidth From Multiple Level Crossings of Stochastic Signals – Dominik Rzepka; Miroslaw Pawlak; Marek Miskowicz; Dariusz Koscielnik |
| 10:40 | Kernel Regression with Autocorrelation Prior – Akira Tanaka |
| 11:05 | Constrained Blind Deconvolution using Wirtinger Flow Methods – Philipp Walk; Peter Jung; Babak Hassibi |
| 11:30 | Bounds on Discrete Fourier Transform of Random Mask – Nematollah Zarmehi; Farokh Marvasti |
11:55-13:00
Lunch
13:00-15:05
Invited Session V: Bilinear inverse problems – Felix Krahmer, Mahdi Soltanolkotabi
Room: A
| 13:00 | Performance of Real Phase Retrieval – Ehsan Abbasi; Fariborz Salehi; Babak Hassibi |
| 13:25 | Blind Sparse Recovery From Superimposed Non-Linear Sensor Measurements – Martin Genzel; Peter Jung |
| 13:50 | Autocalibrating and Calibrationless Parallel Magnetic Resonance Imaging as a Bilinear Inverse Problem – Martin Uecker |
| 14:15 | Fast Blind Deconvolution and Blind Demixing via Nonconvex Optimization – Shuyang Ling; Thomas Strohmer |
| 14:40 | Blind Gain and Phase Calibration for Low-Dimensional or Sparse Signal Sensing via Power Iteration – Yanjun Li; Kiryung Lee; Yor Bresler |
General Session V: Phase retrieval methods
Room: B
| 13:00 | Phase Retrieval Using a Conjugate Symmetric Reference – Kejun Huang; Yonina C. Eldar |
| 13:25 | Phase Retrieval in Spaces of Analytic Functions on the Unit Disk – Volker Pohl; Na Li; Holger Boche |
| 13:50 | Phase retrieval for solutions of the Shrödinger and Helmholtz equations – Philippe Jaming |
| 14:15 | Phase Retrieval Using Unitary 2-Designs – Shelby Kimmel; Yi-Kai Liu |
| 14:40 | Algebraic Phase Unwrapping with Self-Reciprocal Polynomial Algebra – Daichi Kitahara; Isao Yada |
15:05-16:10
Coffee & Poster session I + Mini-courses posters
| Guy Ziv | Similarity Search Over Graphs Using Localized Spectral Analysis | mini courses |
| Felipe Negreira | Mobile sampling. | mini courses |
| Anna Breger | Sampling in Grassmannians | mini courses |
| Nataliia Kinash | “Inverse problems to determine coefficients of fractional diffusion equations with memory.” | mini courses |
| Che Zhihua | Digital Affine Shear Filter Banks with 2-Layer Structure | mini courses |
| Martin Rathmair | Stable Gabor Phase Retrieval and Spectral Clustering | mini courses |
| Jacob Carruth | THE BEURLING SELBERG BOX MINORANT PROBLEM | mini courses |
| Christian Kümmerle | STRUCTURED RANDOM MATRICES AND ALGORITHMS FOR RECOVERY PROBLEMS | mini courses |
| Arun Venkitaraman | Machine learning for signals over graphs | mini courses |
| Olga Graf | On generalized Blackman-Harris sampling operators | mini courses |
| Marzieh Hasannasab | Dynamical sampling and operator representations of frames | mini courses |
| Kamilla Haahr Nielsen | The frame set for Gabor systems generated by B-splines | mini courses |
| Claudio Mayrink Verdun | The Small Ball Method in Recovery Problems | mini courses |
| Joao Morais Carreira Pereira | Sample Complexity of the Boolean multireference alignment. | mini courses |
| Caroline Moosmüller | Approximation of manifold-valued Hermite data using subdivision schemes | mini courses |
| Ekkehard Schnoor | Feature extraction by geometric harmonic analysis | mini courses |
| Egle Butkeviciute |
Optimization of automated health evaluation and training methodology system using decision making algorithms |
mini courses |
| Ryosuke Kawami; Akira Hirabayashi; Takashi Ijiri; Shigeharu Shimamura; Hiroshi Kikuchi; Tomoo Ushio | 3-Dimensional Compressive Sensing and High-Quality Recovery for Phased Array Weather Radar | |
| Anastasia Zakharova | A Polyconvex Relaxation of Three-Dimensional Registration Model Based on Saint Venant-Kirchhoff Type Stored Energy | |
| Yuri Farkov | Nonstationary multiresolution analysis for Vilenkin groups | |
| Federico Piazzon; Alvise Sommariva; Marco Vianello | Caratheodory-Tchakaloff Least Squares | |
| Miguel Alejandro Duval Poo; Anna Maria Massone; Michele Piana | Compressed Sensing and Finite Isotropic Wavelets for the STIX Reconstruction Problem | |
| Yuki Koshino; Masaru Kamada | Sparse Approximation of Ion-Mobility Spectrometry Profiles by Binomial Splines | |
| Arvet Pedas; Enn Tamme; Mikk Vikerpuur | Numerical solution of fractional integro-differential equations with non-local boundary conditions |
16:10-17:10
Plenary lecture III: David Gross (University of Cologne), Low-rank recovery and quantum physics
Room: A
17:15-18:30
Invited Session VI: Low rank matrix recovery and phase retrieval – Radu Balan, David Gross, Xiaodong Li
Room: A
| 17:15 | Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares – Chiheon Kim; Afonso Bandeira; Michel Goemans |
| 17:40 | Deterministic Phase Retrieval – Michael Kech |
| 18:05 | Non-Convex Low-Rank Matrix Recovery from Corrupted Random Linear Measurements – Yuanxin Li; Yuejie Chi; Huishuai Zhang; Yingbin Liang |
General Session VI: Extended Sampling methods
Room: B
| 17:15 | Sub-Nyquist Channel Estimation over IEEE 802.11ad Link – Kumar Vijay Mishra; Yonina C. Eldar |
| 17:40 | Projection-based Multivariate Frequency Estimation – Benedikt Diederichs; Armin Iske |
| 18:05 | Sampling at unknown locations, with an application in surface retrieval – Michalina Pacholska; Benjamín Béjar; Adam Scholefield; Martin Vetterli |
| Wednesday, July 5 |
08:30-09:30
Plenary lecture IV: Rene Vidal (Johns Hopkins University); Global Optimality in Matrix Factorization and Deep Learning
Room: A
9:30-9:50
Coffee
09:50-11:55
Invited Session VII: Mathematics of deep learning – Helmut Boelcskei, Philipp Grohs, Miguel Rodrigues
Room: A
| 9:50 | Deep Class-Aware Image Denoising – Raja Giryes; Alex Bronstein |
| 10:15 | Exponential decay of scattering coefficients – Irene Waldspurger |
| 10:40 | Generalization Error of Deep Neural Networks: Role of Classification Margin and Data Structure – Jure Sokolic; Raja Giryes; Guillermo Sapiro; Miguel Rodrigues |
| 11:05 | Inside the Spectrogram: Convolutional Neural Networks in Audio Processing – Monika Dörfler; Roswitha Bammer; Thomas Grill |
| 11:30 | Notes on the number of linear regions of deep neural networks – Guido Montufar Cuartas |
General Session VII: Frames
Room: B
| 9:50 | Bandpass pseudo prolate shift frames and Riesz bases – Joseph Lakey; Jeffrey Hogan |
| 10:15 | Multi-Window Weaving Frames – Monika Doerfler; Markus Faulhuber |
| 10:40 | On the structures of Grassmannian frames – John Haas, IV; Peter Casazza |
| 11:05 | On Weaving Fusion Frames for Hilbert Spaces – Deepshikha Mehra; Saakshi Garg; Lalit K Vashisht; Geetika Verma |
| 11:30 | Pathwise Least Angle Regression and A Significance Test for the Elastic Net – Esa Ollila |
11:55-13:00
Lunch
13:00-21:00
Excursion
| Thursday, July 6 |
08:30-09:30
Plenary lecture V: Rachel Ward (University of Texas at Austin); Sparse Approximation and randomized methods for nonlinear model reduction
Room: A
9:30-9:50
Coffee
09:50-11:55
| Invited Session VIII: Spectral Estimation and Acoustics – Luis Daniel Abreu, Peter Balazs |
Room: A
| 9:50 | A New Concept of Variable Bandwidth – Karlheinz Groechenig |
| 10:15 | Determining spherical point distributions from their projections – Philippe Jing; Aingeru Fernandez-Bertolin; Karlheinz Groechenig |
| 10:40 | Factor Analysis for Spectral Estimation – Joakim Andén; Amit Singer |
| 11:05 | Spectral estimation for non-stationary signal classes – Adrien Meynard; Bruno Torrésani |
| 11:30 | Time-Frequency Multitaper Methods Applied to Rumble Strip Noise – Christian Kasess |
General Session VIII: Functional Spaces and PDEs
Room: B
| 9:50 | An eigen approach to stable multichannel blind deconvolution under an FIR subspace model – Kiryung Lee; Felix Krahmer; Justin K Romberg |
| 10:15 | Extra invariance and Balian-Low type obstructions for Gabor spaces – Carlos Cabrelli; Ursula M. Molter; Dae Gwan Lee; Goetz E Pfander |
| 10:40 | Approximation of Periodic PDE Solutions with Anisotropic Translation Invariant Spaces– Ronny Bergmann; Dennis Merkert |
| 11:05 | Gelfand numbers, structured sparsity and Besov space embeddings with small mixed smoothness – Tino Ullrich; Sjoerd Dirksen |
| 11:30 | Weighted least-squares approximation of elliptic PDEs with lognormal diffusion coefficients – Giovanni Migliorati |
11:55-13:00
Lunch
13:00-15:05
Invited Session IX: Time-frequency analysis – Karlheinz Gröchenig, Jose Luis Romero
Room: A
| 13:00 | Geometric properties of Gabor frames with a random window – Palina Salanevich; Goetz E Pfander |
| 13:25 | MSE estimates for spectral estimation and off-grid compressive sensing – Luís Daniel Abreu; José Luis Romero |
| 13:50 | On Multivariate Wilson Bases – Jakob Lemvig |
| 14:15 | Some remarks on unconditionally convergent multipliers – Carmen Fernández |
| 14:40 | The Weyl-Heisenberg ensemble: Statistical mechanics meets time-frequency analysis – Luís Daniel Abreu; Joao M Pereira; José Luis Romero; Salvatore Torquato |
General Session IX: Various sampling methods
Room: B
| 13:00 | Dynamical Sampling with Random Noise – Longxiu Huang; Akram Aldroubi; Ilya Krishtal; Roy Lederman |
| 13:25 | A Grid-free Frequency Estimation Method Using Multi-channel Co-prime Sampling Scheme – Wanghan Lv; Huali Wang; Shanxiang Mu |
| 13:50 | On generalized Blackman-Harris sampling operators – Gert Tamberg; Olga Graf |
| 14:15 | On Send-on-Delta Sampling of Bandlimited Function – Adrian Huber; Shih-Chii Liu |
| 14:40 | Random Walk Sampling for Big Data over Networks – Saeed Basirian; Alexander Jung |
15:05-16:10
Coffee & Poster session II
| Conghui Li; Lu Gan; Cong Ling | Coprime Sensing by Chinese Remaindering over Rings |
| Gilles Chardon | Design of variable densities for least-squares approximations |
| Enrico Au-Yeung | Dictionary Learning for sparse representation based on nuclear norm minimization |
| Zhihua Che; Xiaosheng Zhuang | Digital Affine Shear Filter Banks with 2-Layer Structure |
| Francesco Marchetti | Lissajous sampling and spectral filtering in MPI applications: the reconstruction algorithm for reducing the Gibbs phenomenon |
| Damiano Malafronte; Ernesto De Vito; Francesca Odone | Local Spatio-Temporal Representation using the 3D Shearlet Transform |
| Johannes Sappl; Paul Meissner; Markus Haltmeier | Low-Rank Approximation for FMCW Automotive Radar |
| Sara Krause-Solberg; Johannes Maly | A Tractable Approach for One-Bit Compressed Sensing on Manifolds |
| Angela Cuadros; Gonzalo Arce | Coded Aperture Compressive X-ray Spectral CT |
| Lukas Kiefer; Stefania Petra | Performance Bounds for Cosparse Multichannel Signal Recovery via Collaborative-TV |
| Olev Martens; Mart Min; Raul Land; Jaan Ojarand; Marek Rist | Phase-Increment Sampling in Chirp Signal Based Impedance Measurements |
| Hiroki Kuroda; Masao Yamagishi; Isao Yamada | Recovery of Piecewise Finite-Dimensional Continuous Signals by Exploiting Sparsity |
| Abul Hasan Siddiqi; P. Manchanda | Sampling and Approximation Theorems for Wavelets and Frames on Vilenkin group |
| Anna Breger; Martin Ehler | Sampling in Grassmannians |
| Vladimir Kazakov; Francisco Mendoza Sánchez | Sampling Reconstruction Procedures of a realization of Gaussian processes with limited spectrum and with an arbitrary number of samples |
| Francesca Bartolucci; Filippo De Mari; Ernesto De Vito; Francesca Odone | Shearlets as Multi-scale Radon Transform |
| Andrew V. Knyazev; Alexander Malyshev | Signal reconstruction via operator guiding |
| Guy Ziv; Gil Shabat; Yariv Aizenbud; Amir Averbuch | Similarity Search Over Graphs Using Localized Spectral Analysis |
| Stephan Antholzer; Christoph Wolf; Michael Sandbichler; Markus Dielacher; Markus Haltmeier | Compressive Time-of-Flight Imaging |
| Junjie Huang; Pier Luigi Dragotti | Sparse Signal Recovery Using Structured Total Maximum Likelihood |
| Alexander Jung; Ayelet Heimowitz; Yonina C. Eldar | The Network Nullspace Property for Compressed Sensing over Networks |
| Clarice Poon; Charles Dossal; Vincent Duval | The parameter estimation problem under radial lines sampling |
| Ayush Bhandari | Vallee Poussin Kernels, Shift-Invariant Subspaces and the Spline Connection |
| Nematollah Zarmehi; Sina Shahsavari; Farokh Marvasti | Comparison of Uniform and Random Sampling for Speech and Music Signals |
16:10-17:10
Plenary lecture VI: Amit Singer (Princeton University); Mathematics and computation for cryo-electron microscopy
Room: A
17:15-18:30
General Session X: Interpolation methods
Room: A
| 17:15 | Lebesgue Functions of Rational Interpolations of Non-band-limited Functions – Margit Pap; Ákos Pilgermájer |
| 17:40 | Operator-theoretic approach to minimal-norm bandlimited interpolation of nonuniform samples – Nguyen T. Thao; Dominik Rzepka |
General Session XI: Thresholding / Quantization
Room: B
| 17:15 | Adaptive Singular Value Thresholding – Nematollah Zarmehi; Farokh Marvasti |
| 17:40 | Using Empirical Covariance Matrix in Enhancing Prediction Accuracy of Linear Models with Missing Information – Ahmadreza Moradipari, Sina Shahsavari, Ashkan Esmaeili, Farokh Marvasti |
| 18:05 | Crowd Flow Completion From Partial Spatial Observations Using Kernel DMD – Hassan Mansour; Mouhacine Benosman; Vahan Huroyan |
Dinner in tavern “Kochi Ait”, Lootsi Str 10: 19:30 – 21:30
| Friday, July 7 |
08:30-09:30
Plenary lecture VII: Jose C. Principe (University of Florida); Time Based Computation with Pulse Trains
Room: A
9:30-9:50
Coffee
09:50-11:55
Invited Session X: Frames, nonlinear approximations and Hilbert transform – Akram Aldroubi, Shiv K Kaushik, Sumit Sharma
Room: A
| 9:50 | On Bases of Cardinal Functions and Their Role in Approximate Sampling Methods – Keaton Hamm; Jeff Ledford |
| 10:15 | Operator representations of frames– Ole Christensen |
| 10:40 | Orthogonal Greedy Algorithm for Frames in Hilbert spaces – Khole Poumai; Shiv Kumar Kaushik |
| 11:05 | Operator valued frames and applications to quantum channels – Khole Poumai; Shiv Kumar Kaushik; S. Djordjevic |
| 11:30 | Vanishing moments of wavelet packets and wavelets associated with Riesz projectors – Nikhil Khanna; Varinder Kumar; Shiv Kumar Kaushik |
General Session XII: Applications
Room: B
| 9:50 | Mixture Regression as Subspace Clustering – Daniel L Pimentel-Alarcon; Laura Balzano; Roummel Marcia; Robert Nowak; Rebecca Willett |
| 10:15 | Convergent Convolutional Dictionary Learning Using Adaptive Contrast Enhancement (CDL-ACE): Application of CDL to Image Denoising – Il Yong Chun; Jeff Fessler |
| 10:40 | Fast Ewald summation for electrostatic systems with charges and dipoles for various types of periodic boundary conditions – Franziska Nestler |
| 11:05 | Iterative Residual Fitting for Spherical Harmonic Transform of Band-Limited Signals on the Sphere: Generalization and Analysis – Usa Elahi; Zubair Khalid; Rodney Andrew Kennedy; Jason McEwen |
| 11:30 | Photoacoustic ToF Tomography of Blood Cells: From Mathematical Approximation to Super-resolution – Ayush Bhandari; Eric Strohm; Kolios Michael; Resh Raskar |
11:55-13:00
Lunch
13:00-15:05
General Session XIII: Sampling in abstract spaces
Room: A
| 13:00 | On Sampling Theorems for Fractional Fourier Transforms and Series – Ahmed Zayed |
| 13:25 | A Banach Space Property for Signal Spaces With Applications for Sampling and System Approximation – Holger Boche; Ullrich J Mönich |
| 13:50 | Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery – Christian Kümmerle; Juliane Sigl |
| 14:15 | Sampling Type Reconstruction Processes for the Disk Algebra – Holger Boche; Volker Pohl |
| 14:40 | A Sampling Theorem for Convex Shapes with Algebraic Boundaries – Arash Amini; Hadi Mohaghegh Dolatabadi |
General Session XIV: Sparse representations
Room: B
| 13:00 | Multivariate sparse FFT based on rank-1 Chebyshev lattice Sampling – Daniel Potts; Toni Volkmer |
| 13:25 | Refined Performance Guarantees for Sparse Power Factorization – Jakob Geppert; Felix Krahmer; Dominik Stöger |
| 13:50 | Sparse Approximation of Videos by Adaptive Linear Splines over Anisotropic Tetrahedralizations – Armin Iske; Niklas Wagner |
| 14:15 | Sparse Linear Contextual Bandits via Relevance Vector Machines – Davis Gilton; Rebecca Willett |
| 14:40 | Understanding X-let sparsity via decomposition spaces – Felix Voigtlaender |
15:05-15:25
Coffee
15:25-16:25
Plenary lecture VIII: Stéphane Jaffard (Université Paris-Est); Wavelets on the hunt for gravitational waves
Room: A
16:30-18:10
Invited Session XI: Mathematical theory of quantization – Sjoerd Dirksen, Rayan Saab
Room: A
| 16:30 | Quantized Compressed Sensing for Partial Random Circulant Matrices – Felix Krahmer; Rayan Saab; Joe-Mei Feng |
| 16:55 | Fast binary embeddings with Gaussian circulant matrices – Alexander Stollenwerk; Sjoerd Dirksen |
| 17:20 | Complexity of multivariate problems based on binary information – Simon Foucart |
| 17:45 | The Rare Eclipse Problem on Tiles: Quantised Embeddings of Disjoint Convex Sets – Valerio Cbareri; Chunlei Xu; Laurent Jacques |
General Session XV: Recovery methods
Room: B
| 16:30 | A Sampling theorem for functions in Besov spaces on the sphere – Philippe Jing; Felipe Negreira |
| 16:55 | Recovery guarantees for compressed sensing with unknown errors – Simone Brugiapaglia; Ben Adcock; Richard Archibald |
| 17:20 | Recovery of Compactly Supported Functions from Spectrogram Measurements via Lifting – Sami Merhi; Aditya Viswanathan; Mark Iwen |
| 17:45 | Recovery of Missing Samples Using Sparse Approximation via A Convex Similarity Measure – Amirhossein Javaheri; Hadi Zayyani; Farokh Marvasti |
18:15-18:45
Closing
Room: A