Two new preprints using LightOn Optical Processing Unit (OPU)

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Two new preprints using @LightOn's Optical Processing Unit. The first one shows a speed-up of 400 times faster than a CPU implementation. Both of these preprints used @LightOn's Optical Processing Unit. If you are interested in being part of our pilot program to have access to our Light Processing technology, please register at https://www.lighton.ai/lighton-cloud/ All papers and preprints utilizing our Light processing technology can be found at: https://www.lighton.ai/our-technology/

Optical Reservoir Computing using multiple light scattering for chaotic systems prediction by Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan

Reservoir Computing is a relatively recent computational framework based on a large Recurrent Neural Network with fixed weights. Many physical implementations of Reservoir Computing have been proposed to improve speed and energy efficiency. In this study, we report new advances in Optical Reservoir Computing using multiple light scattering to accelerate the recursive computation of the reservoir states. Two different spatial light modulation technologies, namely, phase or binary amplitude modulations, are compared. Phase modulation is a promising direction already employed in other photonic implementations of Reservoir Computing. Additionally, we report a Digital-Micromirror-based Reservoir Computing at up to 640 Hz, more than double the previously reported frequency using a remotely controlled optical device developed by LightOn, and present new binarization strategies to improve the performance of binarized Reservoir Computing.

and another one, on making our Optical Processing Unit linear.

Don't take it lightly: Phasing optical random projections with unknown operators by Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanić

In this paper we tackle the problem of recovering the phase of complex linear measurements when only magnitude information is available and we control the input. We are motivated by the recent development of dedicated optics-based hardware for rapid random projections which leverages the propagation of light in random media. A signal of interest ξ∈RN is mixed by a random scattering medium to compute the projection y=Aξ, with A∈CM×N being a realization of a standard complex Gaussian iid random matrix. Two difficulties arise in this scheme: only the intensity |y|2 can be recorded by the camera, and the transmission matrix A is unknown. We show that even without knowing A, we can recover the unknown phase of y for some equivalent transmission matrix with the same distribution as A. Our method is based on two observations: first, changing the phase of any row of A does not change its distribution; and second, since we control the input we can interfere ξ with arbitrary reference signals. We show how to leverage these observations to cast the measurement phase retrieval problem as a Euclidean distance geometry problem. We demonstrate appealing properties of the proposed algorithm on both numerical simulations and in real hardware experiments. Not only does our algorithm accurately recover the missing phase, but it mitigates the effects of quantization and the sensitivity threshold, thus also improving the measured magnitudes.

all papers and preprints utilizing our Light processing technology can be found at: https://www.lighton.ai/our-technology/


Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email.

Other links:
Paris Machine Learning: Meetup.com||@Archives||LinkedIn||Facebook|| @ParisMLGroup< br/> About LightOn: Newsletter ||@LightOnIO|| on LinkedIn || on CrunchBase || our Blog
About myself: LightOn || Google Scholar || LinkedIn ||@IgorCarron ||Homepage||ArXiv

#ISIT2019 International Symposium on Information Theory

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Continuing on the conferences in France that have been of traditional interest to Nuit Blanche readers is ISIT that is taking place in Paris this year.

As it turns out, ISIT is taking place about 12 minutes walk from LightOn and the banquet is taking place in a place not far from where most of Nuit Blanche has been written over the years :-)

If any of you are reading this and want to visit us at LightOn, don't hesitate to get in touch at: contact at lighton.ai

The complete proceedings is available here (250MB)

Sunday, July 7
09:00 - 11:30

• Tutorial T1: Privacy and Fairness in Data Science: An Information-theoretic Perspective Bièvre, Level 5
• Tutorial T2: Understanding Non-convex Optimization Sorbonne, Level 512:00 - 14:30
• Tutorial T3: Robust Statistics: From Information Theory to Algorithms Sorbonne, Level 5
• Tutorial T4: Private Information Retrieval: Old and New Bièvre, Level 5 15:00 - 17:30
• Tutorial T5: Statistical Physics, Phase-transition Analysis, and Message-passing Algorithms: Powerful Tools for High-dimensional Inference Sorbonne, Level 5
• Tutorial T6: Interference Management in Wireless Networks: Fundamental Bounds and Recent Advances Bièvre, Level 5

17:30 - 19:00
Welcome Reception Salon Jussieu, Level 3 & Espace Lounge, Level 5

Monday, July 8
08:30 - 09:30

• Plenary PLEN-1: Plenary Talk: Muriel Médard - "Le jeu du réseau et du hasard - exploiting randomness" Le Théatre (Parterre), Level -1

09:50 - 11:10

• MO1.R1: Coded Caching I Le Théatre (Parterre), Level -1
• MO1.R2: Polar and RM Codes Saint Germain, Level 3
• MO1.R3: Estimation I Monge, Level 3
• MO1.R4: Quasi-cyclic LDPC codes Odéon, Level 3
• MO1.R5: DNA Coding Saint Victor, Level 3
• MO1.R6: Random Access and Group Testing Sorbonne, Level 5
• MO1.R7: Energy Harvesting Bièvre, Level 5
• MO1.R8: Optical Channels Conseil, Level 5
• MO1.R9: Message Passing Pontoise, Level 5

11:10 - 11:40
Coffee Break

Recent Results Poster Session 1-A Salon Jussieu, Level 3
11:40 - 13:00

• MO2.R1: Information Theory in Biology I Le Théatre (Parterre), Level -1
• MO2.R2: Network Coding I Saint Germain, Level 3
• MO2.R3: Distributed Storage - Regenerating Codes Monge, Level 3
• MO2.R4: Testing and Classification I Odéon, Level 3
• MO2.R5: Quantum Channel Capacity and Codes Saint Victor, Level 3
• MO2.R6: State-Dependent Channels Sorbonne, Level 5
• MO2.R7: Substitution Errors Bièvre, Level 5
• MO2.R8: Wiretap- and Side-Channels Conseil, Level 5

13:00 - 14:30

• WITHITS - Women In the Information Theory Society Monge, Level 3

14:30 - 16:10
Special Session

• MO3.R1: Applications to Fine Arts Le Théatre (Parterre), Level -1
• MO3.R2: Age of Information I Saint Germain, Level 3
• MO3.R3: Private Information Retrieval I Monge, Level 3
• MO3.R4: Signal Processing Odéon, Level 3
• MO3.R5: Community Detection and Graphical Models Saint Victor, Level 3
• MO3.R6: Multiple Access Channels Sorbonne, Level 5
• MO3.R7: Network Information Theory Bièvre, Level 5
• MO3.R8: Guessing I Conseil, Level 5

16:10 - 16:40
Coffee Break

• Recent Results Poster Session 1-B Salon Jussieu, Level 3

16:40 - 18:00

• MO4.R1: Information Theory and Learning I Le Théatre (Parterre), Level -1
• MO4.R2: Index Coding I Saint Germain, Level 3
• MO4.R3: Privacy Monge, Level 3
• MO4.R4: Universal Compression Odéon, Level 3
• MO4.R5: Generalization Bounds Saint Victor, Level 3
• MO4.R6: Wireless Communications I Sorbonne, Level 5
• MO4.R7: Codes and Information Theoretic Cryptography Bièvre, Level 5
• MO4.R8: Guessing II Conseil, Level 5
• MO4.R9: Gaussian Wiretap Channels Pontoise, Level 5

18:00 - 19:30

• Diversity, Equity and Inclusion Workshop Le Théatre (Parterre), Level -1

19:30 - 20:00

• Diversity, Equity and Inclusion Cocktails Salon Jussieu, Level 3

Tuesday, July 9
08:30 - 09:30

• Plenary PLEN-2: Plenary Talk: Alice Guionnet - "Rare events in Random Matrix Theory" Le Théatre (Parterre), Level -1

09:50 - 11:10

• TU1.R1: Coded Caching II Le Théatre (Parterre), Level -1
• TU1.R2: Information Theory and Statistics I Saint Germain, Level 3
• TU1.R3: Emerging Applications of IT I Monge, Level 3
• TU1.R4: Interference I Odéon, Level 3
• TU1.R5: DNA-based Storage Saint Victor, Level 3
• TU1.R6: Wireless Communications II Sorbonne, Level 5
• TU1.R7: Voting and Biometric Privacy Bièvre, Level 5
• TU1.R8: Codes for Privacy and Wiretap Channels Conseil, Level 5

11:10 - 11:40
Coffee Break

• Recent Results Poster Session 2-A Salon Jussieu, Level 3

11:40 - 13:00

• TU2.R1: Jack Keil Wolf Award Le Théatre (Parterre), Level -1
• TU2.R2: Network Coding II Saint Germain, Level 3
• TU2.R3: Estimation II Monge, Level 3
• TU2.R4: Testing and Classification II Odéon, Level 3
• TU2.R5: Information Theory in Biology II Saint Victor, Level 3
• TU2.R6: Finite-Length Analysis Sorbonne, Level 5
• TU2.R7: Game Theory Bièvre, Level 5
• TU2.R8: Covert Communication Conseil, Level 5
• TU2.R9: Channel Models Pontoise, Level 5

14:30 - 16:10
Special Session

• TU3.R1: Applications to Scientific Discovery Le Théatre (Parterre), Level -1
• TU3.R2: Age of Information II Saint Germain, Level 3
• TU3.R3: Private Information Retrieval II Monge, Level 3
• TU3.R4: Reed-Solomon and MDS Codes Odéon, Level 3
• TU3.R5: Private Computation I Saint Victor, Level 3
• TU3.R6: New Developments in Renyi Entropy Sorbonne, Level 5
• TU3.R7: Quantum Data Compression Bièvre, Level 5
• TU3.R8: MIMO Conseil, Level 5
• TU3.R9: Boolean Functions Pontoise, Level 5

16:10 - 16:40
Coffee Break

• Recent Results Poster Session 2-B Salon Jussieu, Level 3

16:40 - 18:00

• TU4.R1: Coded Caching III Le Théatre (Parterre), Level -1
• TU4.R2: Index Coding II Saint Germain, Level 3
• TU4.R3: Private Information Retrieval III Monge, Level 3
• TU4.R4: Interference II Odéon, Level 3
• TU4.R5: Graphical Models Saint Victor, Level 3
• TU4.R6: Joint Source Channel Coding Sorbonne, Level 5
• TU4.R7: Probabilistic Decoding Bièvre, Level 5
• TU4.R8: Insertion-Deletion Correcting Codes I Conseil, Level 5
• TU4.R9: Information Inequalities Pontoise, Level 5

18:15 - 19:30

• Awards Session Le Théatre (Parterre), Level -1

19:30 - 20:00

• Awards Cocktail Bar Galerie Théâtre, Level -1 & Salon Jussieu, Level 3

Wednesday, July 10
08:30 - 09:30

• Shannon Lecturer PLEN-3: Plenary Talk: Erdal Arıkan - "From Sequential Decoding to Channel Polarization and Back Again" Le Théatre (Parterre), Level -1

09:50 - 11:10

• WE1.R1: Polar Codes I Le Théatre (Parterre), Level -1
• WE1.R2: Coded Computing I Saint Germain, Level 3
• WE1.R3: Regression and Estimation Monge, Level 3
• WE1.R4: Cloud and Fog Networks Odéon, Level 3
• WE1.R5: Information Theory Methods in Graph Theory Saint Victor, Level 3
• WE1.R6: Wireless Networks Sorbonne, Level 5
• WE1.R7: Lossless Compression I Bièvre, Level 5
• WE1.R8: Reed-Solomon Codes Conseil, Level 5

11:10 - 11:40
Coffee Break
11:40 - 13:20

• Special Session 
• WE2.R1: Deep Learning for Compression Le Théatre (Parterre), Level -1
• WE2.R2: Distributed Storage Saint Germain, Level 3
• WE2.R3: Coding for Memories Monge, Level 3
• WE2.R4: Lattice Codes Odéon, Level 3
• WE2.R5: Broadcast Channels Saint Victor, Level 3
• WE2.R6: Private Computation II Sorbonne, Level 5
• WE2.R7: Lossless Compression II Bièvre, Level 5
• WE2.R8: Quantum Security and Privacy Conseil, Level 5
• WE2.R9: Bounds on Codes Pontoise, Level 5

15:00 - 18:00

• Workshop on Information and Decision Making Institut Henri Poincaré

Thursday, July 11

• 08:30 - 09:30
• Plenary PLEN-4: Plenary Talk: Yoshua Bengio - "Information Theory for and by Deep Learning" Le Théatre (Parterre), Level -1
• 09:50 - 11:10
• TH1.R1: Polar Codes II Le Théatre (Parterre), Level -1
• TH1.R2: Coded Computing II Saint Germain, Level 3
• TH1.R3: Information Theory and Learning II Monge, Level 3
• TH1.R4: Multiterminal Source Coding Odéon, Level 3
• TH1.R5: Extremal Distributions Saint Victor, Level 3
• TH1.R6: Missing Data Sorbonne, Level 5
• TH1.R7: Post-Quantum Cryptography I Bièvre, Level 5
• TH1.R8: Capacity Computation Conseil, Level 5
• TH1.R9: Algebraic Coding Theory Pontoise, Level 5

11:10 - 11:40
Coffee Break

• Recent Results Poster Session 3-A Salon Jussieu, Level 3

11:40 - 13:00

• TH2.R1: Polar Codes III Le Théatre (Parterre), Level -1
• TH2.R2: Network Coding and Broadcasting Saint Germain, Level 3
• TH2.R3: Neural Networks and AI Monge, Level 3
• TH2.R4: Testing and Classification III Odéon, Level 3
• TH2.R5: Caching for Networks Saint Victor, Level 3
• TH2.R6: Lossy Compression Sorbonne, Level 5
• TH2.R7: Rank Metric Codes Bièvre, Level 5
• TH2.R8: Sparse Signal Recovery Conseil, Level 5

13:00 - 14:30

• Meet the Shannon Lecturer Monge, Level 3

13:15 - 14:15

• Special Memorial Session in Honor of Robert J. McEliece Le Théatre (Parterre), Level -1

14:30 - 16:10

• Special Session 
• TH3.R1: Quantum Information Le Théatre (Parterre), Level -1
• TH3.R2: Polarization Saint Germain, Level 3
• TH3.R3: Private Information Retrieval IV Monge, Level 3
• TH3.R4: Information Theoretic Privacy Odéon, Level 3
• TH3.R5: Secure and Covert Communication Saint Victor, Level 3
• TH3.R6: Quickest Change Detection I Sorbonne, Level 5
• TH3.R7: New Directions in Renyi Entropy Bièvre, Level 5
• TH3.R8: Coding for Feedback Channels Conseil, Level 5
• TH3.R9: Sequences Pontoise, Level 5

16:10 - 16:40
Coffee Break

• Recent Results Poster Session 3-B Salon Jussieu, Level 3

16:40 - 18:00

• TH4.R1: Learning and Regression Le Théatre (Parterre), Level -1
• TH4.R2: Index and Network Coding Saint Germain, Level 3
• TH4.R3: Estimation III Monge, Level 3
• TH4.R4: Codes and Set Systems Odéon, Level 3
• TH4.R5: Insertion-Deletion Correcting Codes II Saint Victor, Level 3
• TH4.R6: Quickest Change Detection II Sorbonne, Level 5
• TH4.R7: Topics in Coding Theory Bièvre, Level 5
• TH4.R8: Low-density Parity-check I Conseil, Level 5
• TH4.R9: Computational Complexity Pontoise, Level 5

19:15 - 22:30

• Conference Banquet Palais Brongniart

Friday, July 12
08:30 - 09:30
Plenary PLEN-5: Plenary Talk: George V. Moustakides - "Quickest Detection of Changes: Classical and Modern Approaches" Le Théatre (Parterre), Level -1
09:50 - 11:10

• FR1.R1: Function Approximation and Learning Le Théatre (Parterre), Level -1
• FR1.R2: Emerging Applications of IT II Saint Germain, Level 3
• FR1.R3: Estimation IV Monge, Level 3
• FR1.R4: Resource Allocation and Scheduling Odéon, Level 3
• FR1.R5: Bandits Saint Victor, Level 3
• FR1.R6: Classical Meets Quantum Sorbonne, Level 5
• FR1.R7: Post-Quantum Cryptography II Bièvre, Level 5
• FR1.R8: Low-density Parity-check II Conseil, Level 5

11:10 - 11:40
Coffee Break
11:40 - 13:00

• FR2.R1: Coded Caching IV Le Théatre (Parterre), Level -1
• FR2.R2: Coded Computation and Networks Saint Germain, Level 3
• FR2.R3: Error Exponents I Monge, Level 3
• FR2.R4: Compressed Sensing I Odéon, Level 3
• FR2.R5: Information Theory for Estimation Saint Victor, Level 3
• FR2.R6: Coding for Distributed Computation Sorbonne, Level 5
• FR2.R7: Active Adversaries Bièvre, Level 5
• FR2.R8: Energy Efficient Communications Conseil, Level 5
• FR2.R9: Packings and Combinatorics Pontoise, Level 5

13:00 - 14:30

• Outreach/Mentoring Monge, Level 3

14:30 - 16:10
Special Session FR3.R1: Information Privacy and Fairness Le Théatre (Parterre), Level -1

• FR3.R2: Coding for Stragglers Saint Germain, Level 3
• FR3.R3: Locally Repairable Codes Monge, Level 3
• FR3.R4: Compressed Sensing II Odéon, Level 3
• FR3.R5: Capacity and Upper Bounds Saint Victor, Level 3
• FR3.R6: Quantum Stabilizer and Related Codes Sorbonne, Level 5
• FR3.R7: Relay Channels Bièvre, Level 5
• FR3.R8: Error Exponents II Conseil, Level 5
• FR3.R9: Theoretical Cryptography Pontoise, Level 5

16:10 - 16:40
Coffee Break
16:40 - 18:00

• FR4.R1: Coded Caching V Le Théatre (Parterre), Level -1
• FR4.R2: Quantum Entropy and Systems Saint Germain, Level 3
• FR4.R3: Coding for Matrix Multiplication Monge, Level 3
• FR4.R4: Secret Keys Odéon, Level 3
• FR4.R5: Information Theory and Statistics II Saint Victor, Level 3
• FR4.R6: Streaming and Coding Sorbonne, Level 5
• FR4.R7: GDoF and Multiuser Channels Bièvre, Level 5
• FR4.R8: Information Measures Conseil, Level 5

Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email.

Other links:
Paris Machine Learning: Meetup.com||@Archives||LinkedIn||Facebook|| @ParisMLGroup< br/> About LightOn: Newsletter ||@LightOnIO|| on LinkedIn || on CrunchBase || our Blog
About myself: LightOn || Google Scholar || LinkedIn ||@IgorCarron ||Homepage||ArXiv

SampTA 2019 Abstracts/Papers.

** Nuit Blanche is now on Twitter: @NuitBlog **

​

After SPARS last week in Toulouse, SampTA is taking place nearby in Bordeaux this week. Here the papers presented there:


Generalization in deep nets: an empirical perspective
Tom Goldstein
abstract : Invité
Deep learning (invited)
sciencesconf.org:sampta2019:283731


Passive and Active Sampling for Piecewise-Smooth Graph Signals
Rohan Varma, Jelena Kovačević
abstract : Invité
Poster & Welcome Party
sciencesconf.org:sampta2019:276216


Robust Recovery of Sparse Non-negative Weights from Mixtures of Positive-Semidefinite Matrices
Peter Jung
abstract : Invité
Compressed sensing and low rank matrix recovery (invited)
sciencesconf.org:sampta2019:273471


On one-stage recovery for ΣΔ-quantized compressed sensing
Ozgur Yilmaz, Arman Ahmadieh
abstract : Invité
Quantization (invited)
sciencesconf.org:sampta2019:267533


High-performance quantization for spectral super-resolution
Sinan Gunturk, Weilin Li
abstract : Invité
Quantization (invited)
sciencesconf.org:sampta2019:267531


Robust 1-Bit Compressed Sensing via Hinge Loss Minimization
Alexander Stollenwerk, Martin Genzel
abstract : Invité
Quantization (invited)
sciencesconf.org:sampta2019:267529


Robust One-bit Compressed Sensing With Manifold Data
Mark Iwen, Sjoerd Dirksen, Johannes Maly, Sara Krause-Solberg
abstract : Invité
Quantization (invited)
sciencesconf.org:sampta2019:267528


One-Bit Sensing of Low-Rank and Bisparse Matrices
Simon Foucart, Laurent Jacques
abstract : Invité
Quantization (invited)
sciencesconf.org:sampta2019:267527


Enabling Prediction via Multi-Layer Graph Inference and Sampling
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
abstract : Invité
Graph signal processing (invited)
sciencesconf.org:sampta2019:267525


Clustering on Dynamic Graphs based on Total Variation
Peter Berger, Thomas Dittrich, Gerald Matz
abstract : Invité
Graph signal processing (invited)
sciencesconf.org:sampta2019:267524


A non-commutative viewpoint on graph signal processing
Mahya Ghandehari, Dominique Guillot, Kristopher Hollingsworth
abstract : Invité
Graph signal processing (invited)
sciencesconf.org:sampta2019:267522


Iterative Chebyshev Polynomial Algorithm for Signal Denoising on Graphs
Cheng Cheng, Junzheng Jiang, Emirov Nazar, Qiyu Sun
abstract : Invité
Graph signal processing (invited)
sciencesconf.org:sampta2019:267521


Average sampling, average splines and Poincare inequality on combinatorial graphs
Isaac Pesenson
abstract : Invité
Graph signal processing (invited)
sciencesconf.org:sampta2019:267520


Blue-Noise Sampling of Signals on Graphs
Alejandro Parada, Daniel Lau, Jhony Giraldo, Gonzalo Arce
abstract : Invité
Graph signal processing (invited)
sciencesconf.org:sampta2019:267519


Panel discussion
Laura Balzano, Rod Little
abstract : Invité
Missing data imputation (invited)
sciencesconf.org:sampta2019:267517


Tractable Learning of Sparsely Used Dictionaries from Incomplete Samples
Thanh Nguyen, Akshay Soni, Chinmay Hegde
abstract : Invité
Missing data imputation (invited)
sciencesconf.org:sampta2019:267462


Aggregation for Sensitive Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
abstract : Invité
Missing data imputation (invited)
sciencesconf.org:sampta2019:267460


Adaptive sequential regression imputation methods using machine learning techniques
Trivellore E. Raghunathan
abstract : Invité
Missing data imputation (invited)
sciencesconf.org:sampta2019:267456


Comparison of Imputation Methods for Race and Ethnic Information in Administrative Health Data
Ofer Harel, Yishu Xue, Robert Aseltine
abstract : Invité
Missing data imputation (invited)
sciencesconf.org:sampta2019:267455


Optimally Sample-Efficient Phase Retrieval with Deep Generative Models
Oscar Leong, Paul Hand, Vladislav Voroninski
abstract : Invité
Phase Retrieval (invited)
sciencesconf.org:sampta2019:267454


3D Phaseless Imaging at Nano-scale: Challenges and Possible Solutions
Mahdi Soltanolkotabi
abstract : Invité
Phase Retrieval (invited)
sciencesconf.org:sampta2019:267452


PhasePack: A Phase Retrieval Library
Tom Goldstein, Christoph Studer, Rohan Chandra
abstract : Invité
Phase Retrieval (invited)
sciencesconf.org:sampta2019:267451


The Cramer-Rao Lower Bound in the Phase Retrieval Problem
Radu Balan, David Bekkerman
abstract : Invité
Phase Retrieval (invited)
sciencesconf.org:sampta2019:267450


Stability of Phase Retrieval Problem
Palina Salanevich
abstract : Invité
Phase Retrieval (invited)
sciencesconf.org:sampta2019:267449


The Diamond ensemble: a well distributed family of points on S2
Carlos Beltrán, Ujué Etayo
abstract : Invité
Time-frequency analysis (invited)
sciencesconf.org:sampta2019:267420


Filtering the Continuous Wavelet Transform Using Hyperbolic Triangulations
Günther Koliander, Luís Daniel Abreu, Antti Haimi, José Luis Romero
abstract : Invité
Time-frequency analysis (invited)
sciencesconf.org:sampta2019:267398


A correspondence between zeros of time-frequency transforms and Gaussian analytic functions
Rémi Bardenet, Pierre Chainais, Julien Flamant, Adrien Hardy
abstract : Invité
Time-frequency analysis (invited)
sciencesconf.org:sampta2019:267397


Scaling limits in planar eigenvalue ensembles
Yacin Ameur
abstract : Invité
Time-frequency analysis (invited)
sciencesconf.org:sampta2019:267395


General Bounds for 1-Layer ReLU approximation
Bolton R. Bailey, Matus Telgarsky
abstract : Invité
Deep learning (invited)
sciencesconf.org:sampta2019:267392


Neuron birth-death dynamics accelerates gradient descent and converges asymptotically
Joan Bruna
abstract : Invité
Deep learning (invited)
sciencesconf.org:sampta2019:267391


Optimization bias in linear convolutional networks
Suriya Gunasekar
abstract : Invité
Deep learning (invited)
sciencesconf.org:sampta2019:267389


Overparameterized Nonlinear Optimization with Applications to Neural Nets
Samet Oymak
abstract : Invité
Deep learning (invited)
sciencesconf.org:sampta2019:267387


Reconciling modern machine learning practice and the classical bias-variance trade-off
Mikhail Belkin, Daniel Hsu, Siyuan Ma, Soumik Mandal
abstract : Invité
Deep learning (invited)
sciencesconf.org:sampta2019:267386


A Delsarte-Style Proof of the Bukh-Cox Bound
Mark E. Magsino, Dustin G. Mixon, Hans Parshall
abstract : Invité
Frame theory (invited)
sciencesconf.org:sampta2019:267384


The Zak transform and representations induced from characters of an abelian subgroup
Joseph W. Iverson
abstract : Invité
Frame theory (invited)
sciencesconf.org:sampta2019:267383


2- and 3-Covariant Equiangular Tight Frames
Emily King
abstract : Invité
Frame theory (invited)
sciencesconf.org:sampta2019:267382


Exact Line Packings from Numerical Solutions
Hans Parshall, Dustin G. Mixon
abstract : Invité
Frame theory (invited)
sciencesconf.org:sampta2019:267380


Equi-isoclinic subspaces from difference sets
Matthew Fickus, Courtney Schmitt
abstract : Invité
Frame theory (invited)
sciencesconf.org:sampta2019:267377


Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares
Christian Kümmerle, Cláudio M. Verdun
abstract : Invité
Compressed sensing and low rank matrix recovery (invited)
sciencesconf.org:sampta2019:267372


New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds
Rayan Saab, Mark Iwen, Eric Lybrand, Aaron Nelson
abstract : Invité
Compressed sensing and low rank matrix recovery (invited)
sciencesconf.org:sampta2019:267369


Entropy Estimates on Tensor Products of Banach Spaces and Applications to Low-Rank Recovery
Kiryung Lee, Sharma Srinivasa Rakshith, Marius Junge, Justin K. romberg
abstract : Invité
Compressed sensing and low rank matrix recovery (invited)
sciencesconf.org:sampta2019:267368


Matrix Completion with Selective Sampling
Christian Parkinson, Kevin Huynh, Deanna Needell
abstract : Invité
Compressed sensing and low rank matrix recovery (invited)
sciencesconf.org:sampta2019:267366

oral (65 documents )
​


The Convolution Word is Tied to the Exponential Kernel Transforms. What is a Parallel Expression for the Other Transforms?
Abdul Jerri
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:276215


Trace Result of Shearlet Coorbit Spaces on Lines
Qaiser Jahan, Stephan Dahlke, Gabriele Steidl
abstract : oral
Wavelets, Shearlets…
sciencesconf.org:sampta2019:273645


Dynamical Sampling with a Burst-like Forcing Term
Akram Aldroubi, Longxiu Huang, Keri Kornelson, Ilya Krishtal
abstract : oral
Problèmes inverses
sciencesconf.org:sampta2019:273644


Riesz bases of exponentials for partitions of intervals
David Walnut, Goetz E. Pfander, Shauna Revay
abstract : oral
Analyse de Fourier
sciencesconf.org:sampta2019:273643


A Rate-Distortion Framework for Explaining Deep Neural Network Decisions
Stephan Wäldchen, Jan Macdonald, Sascha Hauch, Gitta Kutyniok
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:273642


Towards a Regularity Theory for ReLU Networks - Chain Rule and Global Error Estimates
Dennis Elbrächter, Julius Berner, Philipp Grohs, Arnulf Jentzen
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:273594


On the smoothness of dual windows for Gabor windows supported on [-1; 1]
Kamilla H. Nielsen, Jakob Lemvig
abstract : oral
Analyse de Gabor
sciencesconf.org:sampta2019:273593


Iterative Discretization of Optimization Problems Related to Superresolution
Axel Flinth, Pierre Armand Weiss
abstract : oral
Super-Résolution
sciencesconf.org:sampta2019:273592


Multiplication-free coordinate descent iteration for l1-regularized least squares
Nguyen T. Thao, Dominik Rzepka
abstract : oral
Echantillonage compressé
sciencesconf.org:sampta2019:273591


Time-Frequency Shift Invariance of Gabor Spaces
Friedrich Philipp, Andrei Caragea, Dae Gwan Lee, Felix Voigtlaender
abstract : oral
Analyse de Gabor
sciencesconf.org:sampta2019:273589


Sum-of-Squares Optimization and the Sparsity Structure of Equiangular Tight Frames
Dmitriy Kunisky, Afonso Bandeira
abstract : oral
Théorie des "Frames"
sciencesconf.org:sampta2019:273588


On Identifiability in Unlimited Sampling
Ayush Bhandari, Felix Krahmer
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:273587


Random Gabor Multipliers and Compressive Sensing
Georg Tauböck, Shristi Rajbamshi, Peter Balazs, Luís Daniel Abreu
abstract : oral
Echantillonage compressé
sciencesconf.org:sampta2019:273585


Fast Multitaper Spectral Estimation
Santhosh Karnik, Mark Davenport, Justin K. romberg
abstract : oral
Méthodes probabilistes
sciencesconf.org:sampta2019:273584


One-Bit Compressed Sensing Using Smooth Measure of l0 Norm
Sina Alemohammad, Arash Amini
abstract : oral
Quantisation
sciencesconf.org:sampta2019:273583


Banach frames and atomic decompositions in the space of bounded operators on Hilbert spaces
Peter Balazs
abstract : oral
Théorie des "Frames"
sciencesconf.org:sampta2019:273582


Computability of the Fourier Transform and ZFC
Holger Boche, Ullrich J. Mönich
abstract : oral
Analyse de Fourier
sciencesconf.org:sampta2019:273580


Sampling on Hyperbolic Surfaces
Stephen D. Casey
abstract : oral
Traitement du signal non-euclidéen (graphes, variétés,...)
sciencesconf.org:sampta2019:273332


Random Sampling for Bandlimited Signals on Product Graphs
Rohan Varma, Jelena Kovačević
abstract : oral
Traitement du signal non-euclidéen (graphes, variétés,...)
sciencesconf.org:sampta2019:273329


Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks
Scott Gigante, David van Dijk, Kevin Moon, Alexander Strzalkowski, Smita Krishnaswamy, Guy Wolf
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:273085


The dual approach to non-negative super-resolution: impact on primal reconstruction accuracy
Bogdan Toader, Stephane Chretien, Andrew Thompson
abstract : oral
Super-Résolution
sciencesconf.org:sampta2019:273044


Sparse synthesis regularization with deep neural networks
Daniel Obmann, Markus Haltmeier, Johannes Schwab
abstract : oral
Echantillonage compressé
sciencesconf.org:sampta2019:273043


Conditioning of restricted Fourier matrices and super-resolution of MUSIC
Wenjing Liao, Weilin Li
abstract : oral
Super-Résolution
sciencesconf.org:sampta2019:273042


Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation
Christoph H. Angermann, Markus Haltmeier
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:273041


Generalized Sampling on Graphs With A Subspace Prior
Yuichi Tanaka, Yonina C. Eldar
abstract : oral
Traitement du signal non-euclidéen (graphes, variétés,...)
sciencesconf.org:sampta2019:273039


Phase Estimation from Noisy Data with Gaps
Yitong Huang, Clark Bowman, Olivia Walch, Daniel Forger
abstract : oral
Reconstruction de Phase
sciencesconf.org:sampta2019:273038


Higher order 1-bit Sigma-Delta modulation on a circle
Olga Graf, Felix Krahmer, Sara Krause-Solberg
abstract : oral
Quantisation
sciencesconf.org:sampta2019:273036


Analytic and directional wavelet packets
Valery Zheludev
abstract : oral
Wavelets, Shearlets…
sciencesconf.org:sampta2019:273035


Non-Gaussian Random Matrices on Sets: Optimal Tail Dependence and Applications
Halyun Jeong, Xiaowei Li, Yaniv Plan, Ozgur Yilmaz
abstract : oral
Méthodes probabilistes
sciencesconf.org:sampta2019:273033


Monte Carlo wavelets: a randomized approach to frame discretization
Stefano Vigogna, Zeljko Kereta, Valeriya Naumova, Lorenzo Rosasco, Ernesto De Vito
abstract : oral
Quantisation
sciencesconf.org:sampta2019:273031


The Solvability Complexity Index of Sampling-based Hilbert Transform Approximations
Volker Pohl, Holger Boche
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:272943


Deep-Sparse Array Cognitive Radar
Ahmet M. Elbir, Satish Mulleti, Regev Cohen, Rong Fu, Yonina C. Eldar
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:272941


Signal transmission through an unidentified channel
Dae Gwan Lee, Goetz E. Pfander, Volker Pohl
abstract : oral
Analyse de Gabor
sciencesconf.org:sampta2019:272938


Adaptive Frames from Quilted Local Time-Frequency Systems
Lamando Arvin, Gino Angelo Velasco
abstract : oral
Analyse de Gabor
sciencesconf.org:sampta2019:272786


A Clifford Construction of Multidimensional Prolate Spheroidal Wave Functions
Hamed Baghal Ghaffari, Jeffrey Hogan, Joseph Lakey
abstract : oral
Analyse de Fourier
sciencesconf.org:sampta2019:272784


Optimal Spline Generators for Derivative Sampling
Shayan Aziznejad, Alireza Naderi, Michael Unser
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:272701


Analysis of shearlet coorbit spaces in arbitrary dimensions using coarse geometry
René Koch, Hartmut Führ
abstract : oral
Wavelets, Shearlets…
sciencesconf.org:sampta2019:272700


Dual-Reference Design for Holographic Phase Retrieval
David A. Barmherzig, Ju Sun, Emmanuel Candès, Thomas Joseph Lane, Po-Nan Li
abstract : oral
Reconstruction de Phase
sciencesconf.org:sampta2019:272699


On cosine operator function framework of windowed Shannon sampling operators
Andi Kivinukk, Olga Graf, Anna Saksa
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:272697


A quantitative Balian-Low theorem for subspaces
Andrei Caragea, Dae Gwan Lee, Friedrich Philipp, Felix Voigtlaender
abstract : oral
Analyse de Gabor
sciencesconf.org:sampta2019:272694


Higher-dimensional wavelets and the Douglas-Rachford algorithm
Jeffrey Hogan, David Franklin, Matthew Tam
abstract : oral
Wavelets, Shearlets…
sciencesconf.org:sampta2019:272691


Optimization in the construction of nearly cardinal and nearly symmetric wavelets
Neil Dizon, Jeffrey Hogan, Joseph Lakey
abstract : oral
Wavelets, Shearlets…
sciencesconf.org:sampta2019:272690


Numerical computation of eigenspaces of spatio-spectral limiting on hypercubes
Joseph Lakey, Jeffrey Hogan
abstract : oral
Traitement du signal non-euclidéen (graphes, variétés,...)
sciencesconf.org:sampta2019:272689


On the Transferability of Spectral Graph Filters
Ron Levie, Elvin Isufi, Gitta Kutyniok
abstract : oral
Traitement du signal non-euclidéen (graphes, variétés,...)
sciencesconf.org:sampta2019:272686


Phase retrieval from local correlation measurements with fixed shift length
Oleh Melnyk, Frank Filbir, Felix Krahmer
abstract : oral
Reconstruction de Phase
sciencesconf.org:sampta2019:272661


Parameter Instability Regimes in Sparse Proximal Denoising Programs
Aaron Berk, Yaniv Plan, Ozgur Yilmaz
abstract : oral
Echantillonage compressé
sciencesconf.org:sampta2019:272657


Sampling over spiraling curves
Philippe Jaming, José Luis Romero, Felipe Negreira
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:272652


Phase Retrieval for Wide Band Signals
Philippe Jaming, Karim Kellay, Rolando 3 Perez
abstract : oral
Reconstruction de Phase
sciencesconf.org:sampta2019:272651


Frame representations via suborbits of bounded operators
Ole Christensen, Marzieh Hasannasabjaldehbakhani
abstract : oral
Théorie des "Frames"
sciencesconf.org:sampta2019:270217


Deterministic guarantees for L1 -reconstruction: A large sieve approach with geometric flexibility
Michael Speckbacher, Luís Daniel Abreu
abstract : oral
Analyse de Fourier
sciencesconf.org:sampta2019:269809


Approximation in Lp(μ) with deep ReLU neural networks
Felix Voigtlaender, Philipp Petersen
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:269805


Ill-conditionedness of discrete Gabor phase retrieval and a possible remedy
Matthias Wellershoff, Rima Alaifari
abstract : oral
Reconstruction de Phase
sciencesconf.org:sampta2019:269802


Rearranged Fourier Series and Generalizations to Non-Commutative Groups
Armenak Petrosyan, Keaton Hamm, Benjamin Hayes
abstract : oral
Analyse de Fourier
sciencesconf.org:sampta2019:269800


Time encoding and perfect recovery of non-bandlimited signals with an integrate-and-fire system
Roxana Alexandru, Pier Luigi Dragotti
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:269796


Frame Potentials and Orthogonal Vectors
Josiah Park
abstract : oral
Théorie des "Frames"
sciencesconf.org:sampta2019:269793


Unfavorable structural properties of the set of neural networks with fixed architecture
Philipp Petersen, Mones Raslan, Felix Voigtlaender
abstract : oral
Deep Learning
sciencesconf.org:sampta2019:269787


Conjugate Phase Retrieval in Paley-Wiener Space
Eric S. Weber, Friedrich Littmann, Chun-Kit Lai
abstract : oral
Reconstruction de Phase
sciencesconf.org:sampta2019:269786


Frames by Iterations in Shift-invariant Spaces
Alejandra Aguilera, Carlos Cabrelli, Diana Carbajal, Victoria Paternostro
abstract : oral
Théorie des "Frames"
sciencesconf.org:sampta2019:269784


Convergence Rates for Hölder-Windows in Filtered Back Projection
Matthias Beckmann, Armin Iske
abstract : oral
Problèmes inverses
sciencesconf.org:sampta2019:269778


Compactly Supported Tensor Product Complex Tight Framelets with Directionality
Xiaosheng Zhuang, Bin Han
abstract : oral
Théorie des "Frames"
sciencesconf.org:sampta2019:269775


Sampling and reconstruction of graph signals: An overview of recent graph signal processing results
António G. Marques
abstract : oral
Graph signal processing (invited)
sciencesconf.org:sampta2019:269149


Sampling on Hyperbolic Surfaces
Stephen D. Casey
abstract : oral
Other (primary: mathematics)
sciencesconf.org:sampta2019:267714


The Strohmer and Beaver Conjecture for Gaussian Gabor Systems - A Deep Mathematical Problem (?)
Markus Faulhuber
abstract : oral
Time-frequency analysis (invited)
sciencesconf.org:sampta2019:267394


Phase transition for eigenvalues and recovery of rank one matrices
Enrico Au-Yeung, Greg Zanotti
abstract : oral
Echantillonage compressé
sciencesconf.org:sampta2019:267370


On the Reconstruction of a Class of Signals Bandlimited to a Disc
Ahmed Zayed
abstract : oral
Echantillonage et analyse de Fourier
sciencesconf.org:sampta2019:243464

poster (23 documents )
​


Near optimal polynomial regression on norming meshes
Marco Vianello, Federico Piazzon, Len Bos
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:270207


On Column-Row Matrix Approximations
Keaton Hamm, Longxiu Huang
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:269210


Sampling and Recovery of Binary Shapes via Low-Rank structures
Saeed Razavi-Kia, Hojatollah Zamani, Arash Amini
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267728


Adaptive Rate EEG Signal Processing for Epileptic Seizure Detection
Saeed Qaisar, Abdulhamit Subasi
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267719


Construction of Non-Uniform Parseval Wavelet Frames for L^2(R) via UEP
Hari Hari Krishan Malhotra, Lalit K. Vashisht
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267718


Network Tomography in Hyperbolic Space
Stephen D. Casey
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267715


Compressed Diffusion
Scott Gigante, Jay S. Stanley, Ngan Vu, David van Dijk, Kevin Moon, Guy Wolf, Smita Krishnaswamy
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267712


Reconstructing high-dimensional Hilbert-valued functions via compressed sensing
Nicholas C. Dexter, Clayton Webster, Hoang A Tran
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267707


Recovery of a class of Binary Images from Fourier Samples
Hojatollah Zamani, Saeed Razavi-Kia, Arash Amini
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267706


Brain Activity Estimation using EEG-only Recordings Calibrated with joint EEG-fMRI Recordings using Compressive Sensing
Ataei Ali, Arash Amini, Ali GhaziZadeh
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267703


On Kantorovich-type sampling operators
Gert Tamberg, Olga Graf
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267700


Adapted Decimation on Finite Frames for Arbitrary Orders of Sigma-Delta Quantization
Kung-Ching Lin
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267699


Random Diffusion Representations
Moshe Salhov, Amir Averbuch
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267697


Nonuniform Sampling of Echoes of Light
Miguel Heredia Conde, Ayush Bhandari, Otmar Loffeld
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267691


A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation
Nadja Gruber, Markus Haltmeier
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267687


Compressive Sampling and Least Squares based Reconstruction of Correlated Signals
Ali Ahmed, Fahad Shamshad
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267686


Deterministic matrices with a restricted isometry property for partially structured sparse signals
Alihan Kaplan, Volker Pohl, Holger Boche
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267683


On Inferences from Completed Data
Jamie Haddock
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267681


Unitarization and Inversion Formula for the Radon Transform for Hyperbolic Motions
Francesca Bartolucci, Matteo Monti
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267680


NP-hardness of L0 minimization problems: revision and extension to the non-negative setting
Thi-Thanh Nguyen, Charles Soussen, Jérôme Idier, El-Hadi Djermoune
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267642


Frame Bounds for Gabor Frames in Finite Dimensions
Palina Salanevich
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267637


A directional periodic uncertainty principle
Elena Lebedeva, Aleksander Krivoshein, Jürgen Prestin
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:267613


Lagrange interpolation of bandlimited functions on slowly increasing sequences
Rubenson A. Bautista, Noli Reyes, Louie John VALLEJO
abstract : poster
Poster & Welcome Party
sciencesconf.org:sampta2019:243028



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