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Program > Planning

Week Mon. 08 Tue. 09 Wed. 10 Thu. 11 Fri. 12 List

‹ Thursday, July 11, 2019 ›

08:00

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

18:00

19:00

20:00

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22:00

23:00

›8:30 (1h)

Bagging the Peaks: Matrix and Tensor Factorization with Unimodal Constraints
Urbashi Mitra

› A22 Amphi Wegener

8:30 - 9:30 (1h)

Bagging the Peaks: Matrix and Tensor Factorization with Unimodal Constraints

A22 Amphi Wegener

Urbashi Mitra

https://sampta2019.sciencesconf.org/data/program/Mitra.pdf

›9:30 (30min)

Coffee break

9:30 - 10:00 (30min)

Coffee break

›10:05 (2h05)

Missing data imputation (invited)
Laura Balzano & Rod Little

› A9 Amphi 1

10:05 - 12:10 (2h05)

Missing data imputation (invited)

A9 Amphi 1

Laura Balzano & Rod Little

› Comparison of Imputation Methods for Race and Ethnic Information in Administrative Health Data - Ofer Harel, University of Connecticut 10:05-10:30 (25min)

› Adaptive sequential regression imputation methods using machine learning techniques - Trivellore E. Raghunathan, University of Michigan 10:30-10:55 (25min)

› Tractable Learning of Sparsely Used Dictionaries from Incomplete Samples - 10:55-11:20 (25min)

› Missing Data in Machine Learning - Laura Balzano, University of Michigan 11:20-11:35 (15min)

› Missing Data in Classical Statistics - Rod Little, University of Michigan 11:35-11:50 (15min)

› Discussion - Don Rubin, Harvard University 11:50-12:10 (20min)

›10:05 (2h05)

Sampling end Fourier Analysis
Ahmed Zayed

› A9 amphi 2

10:05 - 12:10 (2h05)

Sampling end Fourier Analysis

A9 amphi 2

Ahmed Zayed

› Sampling over spiraling curves - Felipe Negreira, Institut de Mathématiques de Bordeaux 10:05-10:30 (25min)

› Time encoding and perfect recovery of non-bandlimited signals with an integrate-and-fire system - Roxana Alexandru, Imperial College London 10:30-10:55 (25min)

› Optimal Spline Generators for Derivative Sampling - Shayan Aziznejad, EPFL 10:55-11:20 (25min)

› On cosine operator function framework of windowed Shannon sampling operators - Andi Kivinukk, Tallinn University 11:20-11:45 (25min)

› On Identifiability in Unlimited Sampling - Felix Krahmer, TU Munich 11:45-12:10 (25min)

›12:10 (1h35)

Lunch

12:10 - 13:45 (1h35)

Lunch

›13:45 (1h)

Lyapunov's theorem and sampling of continuous frames
Marcin Bownik

› A22 Amphi Wegener

13:45 - 14:45 (1h)

Lyapunov's theorem and sampling of continuous frames

A22 Amphi Wegener

Marcin Bownik

https://sampta2019.sciencesconf.org/data/program/Bownik_1.pdf

›14:50 (1h15)

Graph signal processing (invited)
Karlheinz Gröchenig & Isaac Pesenson

› A9 Amphi 1

14:50 - 16:05 (1h15)

Graph signal processing (invited)

A9 Amphi 1

Karlheinz Gröchenig & Isaac Pesenson

› Sampling and reconstruction of graph signals: An overview of recent graph signal processing results - António G. Marques, Universidad Rey Juan Carlos 14:50-15:15 (25min)

› Iterative Chebyshev Polynomial Algorithm for Signal Denoising on Graphs - 15:15-15:40 (25min)

› A non-commutative viewpoint on graph signal processing - Mahya Ghandehari, University of Delaware 15:40-16:05 (25min)

›14:50 (1h15)

Wavelets, Shearlets…
Andi Kivinukk

› A9 amphi 2

14:50 - 16:05 (1h15)

Wavelets, Shearlets…

A9 amphi 2

Andi Kivinukk

› Higher-dimensional wavelets and the Douglas-Rachford algorithm - Jeffrey Hogan, University of Newcastle 14:50-15:15 (25min)

› Analytic and directional wavelet packets - Valery Zheludev, Tel Aviv University 15:15-15:40 (25min)

› Optimization in the construction of nearly cardinal and nearly symmetric wavelets - Neil Dizon, University of Newcastle 15:40-16:05 (25min)

›14:50 (1h15)

Super-resolution
Sinan Gunturk

› A9 Amphi 3

14:50 - 16:05 (1h15)

Super-resolution

A9 Amphi 3

Sinan Gunturk

› The dual approach to non-negative super-resolution: impact on primal reconstruction accuracy - Bogdan Toader, Oxford University, The Alan Turing Institute 14:50-15:15 (25min)

› Conditioning of restricted Fourier matrices and super-resolution of MUSIC - Wenjing Liao, Georgia Tech 15:15-15:40 (25min)

› Iterative Discretization of Optimization Problems Related to Superresolution - Axel Flinth, Institut de Mathématiques de Toulouse UMR5219 15:40-16:05 (25min)

›16:05 (25min)

Coffee break

16:05 - 16:30 (25min)

Coffee break

›16:30 (1h40)

Graph signal processing (invited)
Karlheinz Gröchenig & Isaac Pesenson

› A9 Amphi 1

16:30 - 18:10 (1h40)

Graph signal processing (invited)

A9 Amphi 1

Karlheinz Gröchenig & Isaac Pesenson

› Clustering on Dynamic Graphs based on Total Variation - Peter Berger, TU Vienna 16:30-16:55 (25min)

› Enabling Prediction via Multi-Layer Graph Inference and Sampling - Stefania Sardellitti, Sapienza University [Rome] 16:55-17:20 (25min)

› Blue-Noise Sampling of Signals on Graphs - Alejandro Parada, University of Delaware 17:20-17:45 (25min)

› Average sampling, average splines and Poincare inequality on combinatorial graphs - Isaac Pesenson, Temple University 17:45-18:10 (25min)

›16:30 (1h15)

Wavelets, Shearlets…
Andi Kivinukk

› A9 amphi 2

16:30 - 17:45 (1h15)

Wavelets, Shearlets…

A9 amphi 2

Andi Kivinukk

› Analysis of shearlet coorbit spaces in arbitrary dimensions using coarse geometry - René Koch, RWTH Aachen University 16:30-16:55 (25min)

› Trace Result of Shearlet Coorbit Spaces on Lines - Qaiser Jahan, Indian Institute of Technology Mandi 16:55-17:20 (25min)

›16:30 (1h15)

Sampling end Fourier Analysis
Arash Amini

› A9 Amphi 3

16:30 - 17:45 (1h15)

Sampling end Fourier Analysis

A9 Amphi 3

Arash Amini

› On the Reconstruction of a Class of Signals Bandlimited to a Disc - Ahmed Zayed, DePaul University, Chicago 16:30-16:55 (25min)

› The Solvability Complexity Index of Sampling-based Hilbert Transform Approximations - Volker Pohl, TU Munich 16:55-17:20 (25min)

› The Convolution Word is Tied to the Exponential Kernel Transforms. What is a Parallel Expression for the Other Transforms? - Abdul Jerri, Clarkson University 17:20-17:45 (25min)

›19:30 (3h30)

Conference Diner at "Café du port"

19:30 - 23:00 (3h30)

Conference Diner at "Café du port"

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