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Program > Planning

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‹ Tuesday, July 9, 2019 ›

08:00

09:00

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20:00

›8:30 (1h)

Metric repair on manifolds with holes
Anna Gilbert (University of Michigan)

› A22 Amphi Wegener

8:30 - 9:30 (1h)

Metric repair on manifolds with holes

A22 Amphi Wegener

Anna Gilbert (University of Michigan)

https://sampta2019.sciencesconf.org/data/program/Gilbert_1.pdf

›9:30 (30min)

Coffee break

9:30 - 10:00 (30min)

Coffee break

›10:05 (2h05)

Time-frequency analysis (invited)
Antti Haimi & José-Luis Romero

› A9 Amphi 1

10:05 - 12:10 (2h05)

Time-frequency analysis (invited)

A9 Amphi 1

Antti Haimi & José-Luis Romero

› The Strohmer and Beaver Conjecture for Gaussian Gabor Systems - A Deep Mathematical Problem (?) - Markus Faulhuber, University of Vienna [Vienna] 10:05-10:30 (25min)

› Scaling limits in planar eigenvalue ensembles - Yacin Ameur, Lund University 10:30-10:55 (25min)

› A correspondence between zeros of time-frequency transforms and Gaussian analytic functions - Rémi Bardenet, CNRS, Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189 10:55-11:20 (25min)

› The Diamond ensemble: a well distributed family of points on S2 - 11:20-11:45 (25min)

› Filtering the Continuous Wavelet Transform Using Hyperbolic Triangulations - Günther Koliander, University of Vienna [Vienna] 11:45-12:10 (25min)

›10:05 (2h05)

Compressed Sensing
Simon Foucart

› A9 amphi 2

10:05 - 12:10 (2h05)

Compressed Sensing

A9 amphi 2

Simon Foucart

› Multiplication-free coordinate descent iteration for l1-regularized least squares - Nguyen T. Thao, City College New York 10:05-10:30 (25min)

› Random Gabor Multipliers and Compressive Sensing - Georg Tauböck, Austrian Accademy of Science 10:30-10:55 (25min)

› Parameter Instability Regimes in Sparse Proximal Denoising Programs - Aaron Berk, British Columbia 10:55-11:20 (25min)

› Phase transition for eigenvalues and recovery of rank one matrices - Enrico Au-Yeung, De Paul 11:20-10:45 (-1h-35)

› Sparse synthesis regularization with deep neural networks - Daniel Obmann, University of Innsbruck 11:45-12:10 (25min)

›10:05 (2h05)

Deep Learning
Mahya Ghandehari

› A9 Amphi 3

10:05 - 12:10 (2h05)

Deep Learning

A9 Amphi 3

Mahya Ghandehari

› Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation - Christoph H. Angermann, University of Innsbruck 10:05-10:30 (25min)

› Unfavorable structural properties of the set of neural networks with fixed architecture - Mones Raslan, Technishe Universität Berlin 10:30-10:55 (25min)

› Towards a Regularity Theory for ReLU Networks - Chain Rule and Global Error Estimates - 10:55-11:20 (25min)

› A Rate-Distortion Framework for Explaining Deep Neural Network Decisions - Stephan Wäldchen, TU Berlin 11:20-11:45 (25min)

› Deep-Sparse Array Cognitive Radar - Satish Mulleti, Weizmann Institute of Science 11:45-12:10 (25min)

›12:10 (1h35)

Lunch

12:10 - 13:45 (1h35)

Lunch

›13:45 (1h)

Combinatorial compressed sensing with expanders
Bubacarr Bah

› A22 Amphi Wegener

13:45 - 14:45 (1h)

Combinatorial compressed sensing with expanders

A22 Amphi Wegener

Bubacarr Bah

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

›14:55 (1h15)

Deep learning (invited)
Misha Belkin & Mahdi Soltanolkotabi

› A9 Amphi 1

14:55 - 16:10 (1h15)

Deep learning (invited)

A9 Amphi 1

Misha Belkin & Mahdi Soltanolkotabi

› Reconciling modern machine learning practice and the classical bias-variance trade-off - 14:55-15:20 (25min)

› Overparameterized Nonlinear Optimization with Applications to Neural Nets - Samet Oymak, University of California, Riverside 15:20-15:45 (25min)

› General Bounds for 1-Layer ReLU approximation - Bolton R. Bailey, University of Illinois at Urbana-Champaign [Urbana] 15:45-16:10 (25min)

›14:55 (1h15)

Frame Theory
Ole Christensen

› A9 amphi 2

14:55 - 16:10 (1h15)

Frame Theory

A9 amphi 2

Ole Christensen

› Banach frames and atomic decompositions in the space of bounded operators on Hilbert spaces - Peter Balazs, Austrian Academy of Sciences 14:55-15:20 (25min)

› Frames by Iterations in Shift-invariant Spaces - Diana Carbajal, Universidad de Buenos Aires [Buenos Aires] 15:20-15:45 (25min)

› Frame representations via suborbits of bounded operators - Ole Christensen, Technical University of Denmark 15:45-16:10 (25min)

›14:55 (1h15)

Phase retrieval
Jo Lakey

› A9 Amphi 3

14:55 - 16:10 (1h15)

Phase retrieval

A9 Amphi 3

Jo Lakey

› Phase Estimation from Noisy Data with Gaps - Yitong Huang, Dartmouth College 14:55-15:20 (25min)

› Phase retrieval from local correlation measurements with fixed shift length - 15:20-15:45 (25min)

› Ill-conditionedness of discrete Gabor phase retrieval and a possible remedy - Matthias Wellershoff, ETH Zurich 15:45-16:10 (25min)

›16:20 (50min)

Deep learning (invited)
Misha Belkin & Mahdi Soltanolkotabi

› A9 Amphi 1

16:20 - 17:10 (50min)

Deep learning (invited)

A9 Amphi 1

Misha Belkin & Mahdi Soltanolkotabi

› Generalization in deep nets: an empirical perspective - Tom Goldstein, University of Maryland 16:20-16:45 (25min)

› Neuron birth-death dynamics accelerates gradient descent and converges asymptotically - Joan Bruna, Courant Institute of Mathematical Sciences [New York] 16:45-17:10 (25min)

›16:20 (1h15)

Quantization
Ozgur Yilmaz

› A9 Amphi 3

16:20 - 17:35 (1h15)

Quantization

A9 Amphi 3

Ozgur Yilmaz

› Higher order 1-bit Sigma-Delta modulation on a circle - 16:20-16:45 (25min)

› One-Bit Compressed Sensing Using Smooth Measure of l0 Norm - Arash Amini, Sharif University of Technology 16:45-17:10 (25min)

› Monte Carlo wavelets: a randomized approach to frame discretization - Zeljko Kereta, Simula Research Lab 17:10-17:35 (25min)

›16:20 (1h15)

Frame Theory
Ole Christensen

› A9 amphi 2

16:20 - 17:35 (1h15)

Frame Theory

A9 amphi 2

Ole Christensen

› Sum-of-Squares Optimization and the Sparsity Structure of Equiangular Tight Frames - Dmitriy Kunisky, Courant Institute of Mathematical Sciences [New York] 16:20-16:45 (25min)

› Frame Potentials and Orthogonal Vectors - Josiah Park, Georgia Tech 16:45-17:10 (25min)

› Compactly Supported Tensor Product Complex Tight Framelets with Directionality - Xiaosheng Zhuang, City University Hong Kong 17:10-17:35 (25min)

›17:45 (2h15)

Poster & Welcome Party

› Haut Carré

17:45 - 20:00 (2h15)

Poster & Welcome Party

Haut Carré

› A directional periodic uncertainty principle - Elena Lebedeva, Saint-Petersburg State University 18:00-20:00 (2h)

› A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation - Nadja Gruber, University of Innsbruck 18:00-20:00 (2h)

› Adapted Decimation on Finite Frames for Arbitrary Orders of Sigma-Delta Quantization - Kung-Ching Lin, University of Maryland 18:00-20:00 (2h)

› Adaptive Rate EEG Signal Processing for Epileptic Seizure Detection - Saeed Qaisar, Effat University 18:00-20:00 (2h)

› Brain Activity Estimation using EEG-only Recordings Calibrated with joint EEG-fMRI Recordings using Compressive Sensing - Ataei Ali, Sharif University of Technology 18:00-20:00 (2h)

› Compressed Diffusion - Scott Gigante, Computational Biology and Bioinformatics Program, Yale University 18:00-20:00 (2h)

› Compressive Sampling and Least Squares based Reconstruction of Correlated Signals - Ali Ahmed, Information Technology University 18:00-20:00 (2h)

› Construction of Non-Uniform Parseval Wavelet Frames for L^2(R) via UEP - Hari Hari Krishan Malhotra, University of Dehli 18:00-20:00 (2h)

› Deterministic matrices with a restricted isometry property for partially structured sparse signals - Alihan Kaplan, TU Munich 18:00-20:00 (2h)

› Frame Bounds for Gabor Frames in Finite Dimensions - Palina Salanevich, UCLA 18:00-20:00 (2h)

› Lagrange interpolation of bandlimited functions on slowly increasing sequences - Louie John VALLEJO, Institute of Mathematics, University of the Philippines - Diliman 18:00-20:00 (2h)

› Near optimal polynomial regression on norming meshes - Marco Vianello, University of Padova 18:00-20:00 (2h)

› Network Tomography in Hyperbolic Space - Stephen D. Casey, American University Washington 18:00-20:00 (2h)

› Nonuniform Sampling of Echoes of Light - Miguel Heredia Conde, University of Siegen 18:00-20:00 (2h)

› NP-hardness of L0 minimization problems: revision and extension to the non-negative setting - Thi-Thanh Nguyen, Université de Lorraine 18:00-20:00 (2h)

› On Column-Row Matrix Approximations - Keaton Hamm, University of Arizona 18:00-20:00 (2h)

› On Inferences from Completed Data - Jamie Haddock, UCLA 18:00-20:00 (2h)

› On Kantorovich-type sampling operators - 18:00-20:00 (2h)

› Passive and Active Sampling for Piecewise-Smooth Graph Signals - Rohan Varma, Carnegie Mellon University 18:00-20:00 (2h)

› Random Diffusion Representations - Moshe Salhov, Tel Aviv University 18:00-20:00 (2h)

› Reconstructing high-dimensional Hilbert-valued functions via compressed sensing - Nicholas C. Dexter, Simon Fraser University and PIMS 18:00-20:00 (2h)

› Recovery of a class of Binary Images from Fourier Samples - 18:00-20:00 (2h)

› Sampling and Recovery of Binary Shapes via Low-Rank structures - Arash Amini, Sharif University of Technology 18:00-20:00 (2h)

› Unitarization and Inversion Formula for the Radon Transform for Hyperbolic Motions - Francesca Bartolucci, Università di Genova 18:00-20:00 (2h)

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