Publications related to Structured Random Model for Fast and Robust Phase Retrieval

Related publications (11)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

Adversarial robustness has been studied extensively in image classification, especially for the ℓ∞-threat model, but significantly less so for related tasks such as object detection and semantic segmentation, where attacks turn out to be a much harder opti ...

Springer Science and Business Media Deutschland GmbH2025

Joint Multiband Deconvolution for Euclid and Vera C. Rubin Images

Frédéric Courbin, Pascale Jablonka, Utsav Akhaury

With the advent of surveys like Euclid and Vera C. Rubin, astrophysicists will have access to both deep, high-resolution images and multiband images. However, these two types are not simultaneously available in any single dataset. It is therefore vital to ...

EDP Sciences SA2025

Adversarial Training For Defense Against Label Poisoning Attacks

Volkan Cevher

As machine learning models grow in complexity and increasingly rely on publicly sourced data, such as the human-annotated labels used in training large language models, they become more vulnerable to label poisoning attacks. These attacks, in which adversa ...

2025

Unravelling the components of diffuse scattering using deep learning

Lucas Sebastian Powell-Rudden

Many technologically important material properties are underpinned by disorder and short-range structural correlations; therefore, elucidating structure-property relationships in functional materials requires understanding both the average and the local st ...

Int Union Crystallography2024

Petviashvili Method for the Fractional Schrodinger Equation

Sofi Farazande

In this paper, we extend the Petviashvili method (PM) to the fractional nonlinear Schrodinger equation (fNLSE) for the construction and analysis of its soliton solutions. We also investigate the temporal dynamics and stabilities of the soliton solutions of ...

2023

Ridges, Neural Networks, and the Radon Transform

Michaël Unser

A ridge is a function that is characterized by a one-dimensional profile (activation) and a multidimensional direction vector. Ridges appear in the theory of neural networks as functional descriptors of the effect of a neuron, with the direction vector bei ...

2023

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Martin Weigert

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a communitywide challenge using the largest availab ...

Elsevier2023

Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification

Fabio Nobile, Yoshihito Kazashi

This paper deals with the kernel-based approximation of a multivariate periodic function by interpolation at the points of an integration lattice-a setting that, as pointed out by Zeng et al. (Monte Carlo and Quasi-Monte Carlo Methods 2004, Springer, New Y ...

Springer2022

Submillimeter T-1 atlas for subject-specific abnormality detection at 7T

Jean-Philippe Thiran, Tobias Kober, Bénédicte Marie Maréchal, Tom Hilbert, Ricardo Alberto Corredor Jerez, Gian Franco Piredda, Samuele Caneschi

Purpose: Studies at 3T have shown that T-1 relaxometry enables characterization of brain tissues at the single-subject level by comparing individual physical properties to a normative atlas. In this work, an atlas of normative T-1 values at 7T is introduce ...

WILEY2022

On the uniqueness of solutions for the basis pursuit in the continuum

Julien René Fageot, Thomas Jean Debarre

This paper studies the continuous-domain inverse problem of recovering Radon measures on the one-dimensional torus from low-frequency Fourier coefficients, where K (c) is the cutoff frequency. Our approach consists in minimizing the total-variation norm am ...

2022

Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model

Jean-Marc Odobez, Yu Yu

As an indicator of attention, gaze is an important cue for human behavior and social interaction analysis. Recent deep learning methods for gaze estimation rely on plain regression of the gaze from images without accounting for potential mismatches in eye ...

SPRINGER INTERNATIONAL PUBLISHING AG2018