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6,125 results on '"A. Escande"'

1. Motion Accuracy and Computational Effort in QP-based Robot Control

Author

Chefchaouni, Sélim, Escande, Adrien, and Wieber, Pierre-Brice

Subjects
Computer Science - Robotics
Abstract

Quadratic Programs (QPs) have become a mature technology for the control of robots of all kinds, including humanoid robots. One aspect has been largely overlooked, however, which is the accuracy with which these QPs should be solved. Typical QP solvers aim at providing solutions accurate up to floating point precision ($\approx10^{-8}$). Considering physical quantities expressed in SI or similar units (meters, radians, etc.), such precision seems completely unrelated to both task requirements and hardware capacity. Typically, humanoid robots never achieve, nor are capable of achieving sub-millimeter precision in manipulation tasks. With this observation in mind, our objectives in this paper are two-fold: first examine how the QP solution accuracy impacts the resulting robot motion accuracy, then evaluate how a reduced solution accuracy requirement can be leveraged to reduce the corresponding computational effort. Numerical experiments with a dynamic simulation of a HRP-4 robot indicate that computational effort can be divided by more than 20 while maintaining the desired motion accuracy., Comment: Submitted to 2024 IEEE-RAS International Conference on Humanoid Robots (Humanoids)

Published
2024

2. Contact-force local impedance algorithm to guide effective pulmonary vein isolation in AF patients: 1-year outcome from an international multicenter clinical setting

Author

Solimene, Franscesco, Maggio, Ruggero, De Sanctis, Valerio, Escande, William, Malacrida, Maurizio, Stabile, Giuseppe, Zakine, Cyril, Champ-Rigot, Laure, Anselmino, Matteo, Ferraro, Anna, Mantica, Massimo, Zucchelli, Giulio, Dell’Era, Gabriele, Mascia, Giuseppe, Ricci Maga, Renata, Pandozi, Claudio, Rossi, Pietro, Scaglione, Marco, Zingarini, Gianluca, Garnier, Fabien, Loricchio, Maria Luisa, Pelargonio, Gemma, and Lepillier, Antoine

Published
2024
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3. Impacto de las enfermedades foliares sobre variables fisiológicas determinantes del rendimiento del girasol ante diferentes situaciones de cultivo

Author

F. QUIROZ, L. VELÁZQUEZ, N. LÁZZARO, A. ESCANDE, L. AGUIRREZÁBAL, and G. DOSIO

Subjects
leptosphaeria lindquistii, alternaria helianthi, helianthus annuus l, área foliar, duración del área foliar, protección fúngica, rendimiento, peso de aquenios, número de aquenios, Agriculture, Agriculture (General), S1-972
Abstract

La mancha de la hoja por Alternaria (ALT) y la mancha negra del tallo por Phoma (MNT) son enfermedades foliares endémicas del girasol en Argentina. MNT disminuye regularmente el rendimiento del girasol de alto potencial del sur de Buenos Aires. La variabilidad ambiental entre años y la fecha de siembra inciden en la ocurrencia de estas enfermedades, sin embargo, la información sobre su efecto es escasa. El objetivo de este trabajo fue evaluar la ocurrencia de estas enfermedades y su impacto sobre el rendimiento, el peso y número de aquenios y el contenido de aceite, en diferentes ambientes (años y fechas de siembra) del sur de Buenos Aires, Argentina. Se realizaron cinco experimentos en la Estación Experimental Agropecuaria del Instituto Nacional de Tecnología Agropecuaria en Balcarce en los años 2003, 2005, 2007, 2008 y 2009 en condiciones de campo e inoculación natural. Se evaluaron cinco híbridos, protegidos o no protegidos con una mezcla de fungicidas foliares. Tres experimentos incluyeron dos fechas de siembra (temprana y tardía). Se midió el área foliar, la incidencia y severidad de las enfermedades, el rendimiento, el peso y número de aquenios y el contenido de aceite. MNT fue la enfermedad de mayor prevalencia e incidencia (19 a 81%). Con menor frecuencia se observó presencia severa de ALT (0,3 a 10%) y ocurrencia atípica de roya negra por Puccinia helianthi (RN; 0 a 23%) en 2007. Las mayores precipitaciones y humedad relativa observadas en fechas de siembra tardías se correspondieron con aumento en la incidencia o severidad de síntomas (> 70%) principalmente de ALT. MNT, ALT y RN disminuyeron la duración del área foliar principalmente en hojas del estrato medio o superior, mientras que la protección con fungicidas redujo su efecto. MNT fue la enfermedad que más se asoció con la disminución del peso y número de aquenios. El contenido de aceite disminuyó en los tratamientos testigo en asociación con la siembra tardía y la presencia de ALT. El efecto de las enfermedades foliares sobre el rendimiento (11 a 17%), el peso y número de aquenios y el contenido de aceite varió con el ambiente de experimentación y en relación con la incidencia de MNT y la ocurrencia de epifitias severas de RN y ALT. La aplicación de fungicidas foliares mostró un beneficio productivo.

Published
2018

4. Modelling of impurity heating during reconnections in a Reverse Field Pinch device as due to parallel electric field acceleration and chaos-induced thermalization

Author

Sattin, F., Escande, D. F., Gobbin, M., and Predebon, I.

Subjects
Physics - Plasma Physics
Abstract

The ion temperature during magnetic reconnections measured along the direction of the magnetic field at the MST Reverse Field Pinch has not yet received a satisfactory theoretical explanation. In this work we argue that it is consistent with a picture of ion energization by the parallel electric fields generated by the plasma during reconnection, and thermalization due to the chaotic ion dynamics. Three possible sources of randomness are pointed out: particle motion along static stochastic magnetic field lines, breakup of the adiabatic ion dynamics caused by the strong gradient nonlinearity of the magnetic field, parallel acceleration along stochastic time-dependent electric fields. The three mechanisms are likely operative simultaneously; regardless the specific mechanism active, the correct scaling laws with ion parameters are recovered. Furthermore, we argue that quantitative agreement can be obtained by feeding the model with realistic values for the plasma conditions.

Published
2023

6. Validation of the plasma-wall self-organization model for density limit in ECRH-assisted start-up of Ohmic discharges on J-TEXT

Author

Liu, Jiaxing, Zhu, Ping, Escande, Dominique Franck, Zhang, Junli, Xia, Donghui, Wang, Yuhan, Wang, Jiaming, Yang, Qinghu, Fang, Jiangang, Gao, Li, Cheng, Zhifeng, Chen, Zhipeng, Yang, Zhoujun, Chen, Zhongyong, Ding, Yonghua, Pan, Yuan, and team, the J-TEXT

Subjects
Physics - Plasma Physics
Abstract

A recently developed plasma-wall self-organization (PWSO) model predicts a significantly enhanced density limit, which may be attainable in tokamaks with ECRH-assisted ohmic startup and sufficiently high initial neutral density. Experiments have been conducted on J-TEXT to validate such a density limit scenario based on this model. Experimental results demonstrate that increasing the pre-filled gas pressure or ECRH power during the startup phase can effectively enhance plasma purity and raise the density limit at the flat-top. Despite the dominant carbon fraction in the wall material, some discharges approach the edge of the density-free regime of the 1D model of PWSO., Comment: 17 pages, 8 figures

Published
2023
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7. On the Concentration of the Minimizers of Empirical Risks

Author

Escande, Paul

Subjects
Mathematics - Statistics Theory
Abstract

Obtaining guarantees on the convergence of the minimizers of empirical risks to the ones of the true risk is a fundamental matter in statistical learning. Instead of deriving guarantees on the usual estimation error, the goal of this paper is to provide concentration inequalities on the distance between the sets of minimizers of the risks for a broad spectrum of estimation problems. In particular, the risks are defined on metric spaces through probability measures that are also supported on metric spaces. A particular attention will therefore be given to include unbounded spaces and non-convex cost functions that might also be unbounded. This work identifies a set of assumptions allowing to describe a regime that seem to govern the concentration in many estimation problems, where the empirical minimizers are stable. This stability can then be leveraged to prove parametric concentration rates in probability and in expectation. The assumptions are verified, and the bounds showcased, on a selection of estimation problems such as barycenters on metric space with positive or negative curvature, subspaces of covariance matrices, regression problems and entropic-Wasserstein barycenters.

Published
2023

11. SNUPN deficiency causes a recessive muscular dystrophy due to RNA mis-splicing and ECM dysregulation

Author

Nashabat, Marwan, Nabavizadeh, Nasrinsadat, Saraçoğlu, Hilal Pırıl, Sarıbaş, Burak, Avcı, Şahin, Börklü, Esra, Beillard, Emmanuel, Yılmaz, Elanur, Uygur, Seyide Ecesu, Kayhan, Cavit Kerem, Bosco, Luca, Eren, Zeynep Bengi, Steindl, Katharina, Richter, Manuela Friederike, Bademci, Guney, Rauch, Anita, Fattahi, Zohreh, Valentino, Maria Lucia, Connolly, Anne M., Bahr, Angela, Viola, Laura, Bergmann, Anke Katharina, Rocha, Maria Eugenia, Peart, LeShon, Castro-Rojas, Derly Liseth, Bültmann, Eva, Khan, Suliman, Giarrana, Miriam Liliana, Teleanu, Raluca Ioana, Gonzalez, Joanna Michelle, Pini, Antonella, Schädlich, Ines Sophie, Vill, Katharina, Brugger, Melanie, Zuchner, Stephan, Pinto, Andreia, Donkervoort, Sandra, Bivona, Stephanie Ann, Riza, Anca, Streata, Ioana, Gläser, Dieter, Baquero-Montoya, Carolina, Garcia-Restrepo, Natalia, Kotzaeridou, Urania, Brunet, Theresa, Epure, Diana Anamaria, Bertoli-Avella, Aida, Kariminejad, Ariana, Tekin, Mustafa, von Hardenberg, Sandra, Bönnemann, Carsten G., Stettner, Georg M., Zanni, Ginevra, Kayserili, Hülya, Oflazer, Zehra Piraye, and Escande-Beillard, Nathalie

Published
2024
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12. The hierarchical Newton's method for numerically stable prioritized dynamic control

Author

Pfeiffer, Kai, Escande, Adrien, Gergondet, Pierre, and Kheddar, Abderrahmane

Subjects
Computer Science - Robotics, Mathematics - Optimization and Control
Abstract

This work links optimization approaches from hierarchical least-squares programming to instantaneous prioritized whole-body robot control. Concretely, we formulate the hierarchical Newton's method which solves prioritized non-linear least-squares problems in a numerically stable fashion even in the presence of kinematic and algorithmic singularities of the approximated kinematic constraints. These results are then transferred to control problems which exhibit the additional variability of time. This is necessary in order to formulate acceleration based controllers and to incorporate the second order dynamics. However, we show that the Newton's method without complicated adaptations is not appropriate in the acceleration domain. We therefore formulate a velocity based controller which exhibits second order proportional derivative convergence characteristics. Our developments are verified in toy robot control scenarios as well as in complex robot experiments which stress the importance of prioritized control and its singularity resolution.

Published
2023

13. Optimization-Based Control for Dynamic Legged Robots

Author

Wensing, Patrick M., Posa, Michael, Hu, Yue, Escande, Adrien, Mansard, Nicolas, and Del Prete, Andrea

Subjects
Computer Science - Robotics
Abstract

In a world designed for legs, quadrupeds, bipeds, and humanoids have the opportunity to impact emerging robotics applications from logistics, to agriculture, to home assistance. The goal of this survey is to cover the recent progress toward these applications that has been driven by model-based optimization for the real-time generation and control of movement. The majority of the research community has converged on the idea of generating locomotion control laws by solving an optimal control problem (OCP) in either a model-based or data-driven manner. However, solving the most general of these problems online remains intractable due to complexities from intermittent unidirectional contacts with the environment, and from the many degrees of freedom of legged robots. This survey covers methods that have been pursued to make these OCPs computationally tractable, with specific focus on how environmental contacts are treated, how the model can be simplified, and how these choices affect the numerical solution methods employed. The survey focuses on model-based optimization, covering its recent use in a stand alone fashion, and suggesting avenues for combination with learning-based formulations to further accelerate progress in this growing field., Comment: submitted for initial review; comments welcome

Published
2022

14. Thresholdless stochastic particle heating by a single wave

Author

Sattin, F. and Escande, D. F.

Subjects
Physics - Plasma Physics
Abstract

Stochastic heating is a well-known mechanism through which magnetized particles may be energized by low-frequency electromagnetic waves. In its simplest version, under spatially homogeneous conditions, it is known to be operative only above a threshold in the normalized wave amplitude, which may be a demanding requisite in actual scenarios, severely restricting its range of applicability. In this work we show, by numerical simulations supported by inspection of the particle Hamiltonian, that allowing for even a very weak spatial inhomogeneity completely removes the threshold, trading the requirement upon the wave amplitude with a requisite upon the duration of the interaction between wave and particle. The thresholdless chaotic mechanism considered here is likely to be applicable to other inhomogeneous systems., Comment: V2. Some minor mistakes corrected

Published
2022
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16. Triggering of tearing instability by impurity radiation through resistive interchange reversal in a tokamak

Author

Zeng, Shiyong, Zhu, Ping, Zhou, Ruijie, and Escande, Dominique Frank

Subjects
Physics - Plasma Physics
Abstract

Recent MHD simulations find that the reversal of the local resistive interchange parameter $D_R$ from negative to positive due to impurity radiation cooling is able to trigger the resistive tearing mode growth in a tokamak above a threshold in impurity level. A layer of perturbed Pfirsch-Schl\"{u}ter current density and resistivity are also induced by the impurity radiation, which further govern the tearing mode growth and saturation in the nonlinear stage. The impurity threshold and the tearing mode growth strongly depend on the parallel thermal conductivity, and such a dependence derives from the impact on $D_R$ of the fast parallel thermal equilibration along the helical magnetic field lines., Comment: 16 pages, 5 figures

Published
2022
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18. 15. Division physique non linéaire

Author

Aumaître, Sébastien, primary, Bourgoin, Mickaël, additional, Dauchot, Olivier, additional, Escande, Dominique, additional, Falcon, Éric, additional, Fauve, Stéphan, additional, Fort, Emmanuel, additional, Gallet, Basile, additional, Gissinger, Christophe, additional, Larger, Laurent, additional, Lefranc, Marc, additional, Letellier, Christophe, additional, Manneville, Paul, additional, and Roman, Benoît, additional

Published
2023
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20. Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties

Author

Joshi, Akshay, Thakolkaran, Prakash, Zheng, Yiwen, Escande, Maxime, Flaschel, Moritz, De Lorenzis, Laura, and Kumar, Siddhant

Subjects
Computer Science - Computational Engineering, Finance, and Science
Abstract

Within the scope of our recent approach for Efficient Unsupervised Constitutive Law Identification and Discovery (EUCLID), we propose an unsupervised Bayesian learning framework for discovery of parsimonious and interpretable constitutive laws with quantifiable uncertainties. As in deterministic EUCLID, we do not resort to stress data, but only to realistically measurable full-field displacement and global reaction force data; as opposed to calibration of an a priori assumed model, we start with a constitutive model ansatz based on a large catalog of candidate functional features; we leverage domain knowledge by including features based on existing, both physics-based and phenomenological, constitutive models. In the new Bayesian-EUCLID approach, we use a hierarchical Bayesian model with sparsity-promoting priors and Monte Carlo sampling to efficiently solve the parsimonious model selection task and discover physically consistent constitutive equations in the form of multivariate multi-modal probabilistic distributions. We demonstrate the ability to accurately and efficiently recover isotropic and anisotropic hyperelastic models like the Neo-Hookean, Isihara, Gent-Thomas, Arruda-Boyce, Ogden, and Holzapfel models in both elastostatics and elastodynamics. The discovered constitutive models are reliable under both epistemic uncertainties - i.e. uncertainties on the true features of the constitutive catalog - and aleatoric uncertainties - which arise from the noise in the displacement field data, and are automatically estimated by the hierarchical Bayesian model., Comment: 36 pages, 17 figures

Published
2022
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21. Random walk informed community detection reveals heterogeneities in the lymph node conduits network

Author

Song, Solène, Senoussi, Malek, Escande, Paul, and Villoutreix, Paul

Subjects
Computer Science - Social and Information Networks, Quantitative Biology - Quantitative Methods
Abstract

Random walks on networks are widely used to model stochastic processes such as search strategies, transportation problems or disease propagation. A prominent example of such process is the guiding of naive T cells by the lymph node conduits network. Here,we propose a general framework to find network heterogeneities, which we define as connectivity patterns that affect the random walk. We propose to characterize and measure these heterogeneities by detecting communities in a way that is interpretable in terms of random walk. Moreover, we use an approximation to accurately and efficiently compute these quantities on large networks. Finally, we propose an interactive data visualization platform to follow the dynamics of the random walks and their characteristics on our datasets, and a ready-to-use pipeline for other datasets upon download. By computing quantitative feature of random walk informed communities detected within the network, we show that the lymph node conduit network is spatially coherent, however, despite its quasi-regularity, contains some random walk related heterogeneities. To evaluate these characteristics, we applied the same workflow of diffusion based community detection and analysis on the LNCN and a series of generated toy networks.

Published
2022

22. Preoperative brachytherapy of early-stage cervical cancer: A multicenter study by the SFRO brachytherapy group

Author

Ka, Kanta, Cordoba, Abel, Cagetti, Leonel Varela, Schiappa, Renaud, Kissel, Manon, Escande, Alexandre, Casabianca, Laurence Gonzague, Buchalet, Chloe, Gouy, Sebastien, Morice, Philippe, Narducci, Fabrice, Martinez, Carlos, Jauffret, Camille, Lambaudie, Eric, Delpech, Yann, Laas, Enora, Gaillard, Thomas, Hannoun-Levi, Jean-Michel, Espenel, Sophie, and Chargari, Cyrus

Published
2024
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28. $\mathcal{N}$IPM-HLSP: An Efficient Interior-Point Method for Hierarchical Least-Squares Programs

Author

Pfeiffer, Kai, Escande, Adrien, and Righetti, Ludovic

Subjects
Mathematics - Optimization and Control, Computer Science - Computational Complexity, Computer Science - Performance, Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Numerical Analysis
Abstract

Hierarchical least-squares programs with linear constraints (HLSP) are a type of optimization problem very common in robotics. Each priority level contains an objective in least-squares form which is subject to the linear constraints of the higher priority levels. Active-set methods are a popular choice for solving them. However, they can perform poorly in terms of computational time if there are large changes of the active set. We therefore propose a computationally efficient primal-dual interior-point method (IPM) for dense HLSP's which is able to maintain constant numbers of solver iterations in these situations. We base our IPM on the computationally efficient nullspace method as it requires only a single matrix factorization per solver iteration instead of two as it is the case for other IPM formulations. We show that the resulting normal equations can be expressed in least-squares form. This avoids the formation of the quadratic Lagrangian Hessian and can possibly maintain high levels of sparsity. Our solver reliably solves ill-posed instantaneous hierarchical robot control problems without exhibiting the large variations in computation time seen in active-set methods.

Published
2021
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31. Lattice Boltzmann Method for wave propagation in elastic solids with a regular lattice: Theoretical analysis and validation

Author

Escande, Maxime, Kolluru, Praveen Kumar, Cléon, Louis Marie, and Sagaut, Pierre

Subjects
Computer Science - Computational Engineering, Finance, and Science, Physics - Computational Physics
Abstract

The von Neumann stability analysis along with a Chapman-Enskog analysis is proposed for a single-relaxation-time lattice Boltzmann Method (LBM) for wave propagation in isotropic linear elastic solids, using a regular D2Q9 lattice. Different boundary conditions are considered: periodic, free surface, rigid interface. An original absorbing layer model is proposed to prevent spurious wave reflection at domain boundaries. The present method is assessed considering several test cases. First, a spatial Gaussian force modulated in time by a Ricker wavelet is used as a source. Comparisons are made with results obtained using a classical Fourier spectral method. Both P and S waves are shown to be very accurately predicted. The case of Rayleigh surface waves is then addressed to check the accuracy of the method.

Published
2020

32. Fast Wavelet Decomposition of Linear Operators through Product-Convolution Expansions

Author

Escande, Paul and Weiss, Pierre

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing, Mathematics - Numerical Analysis
Abstract

Wavelet decompositions of integral operators have proven their efficiency in reducing computing times for many problems, ranging from the simulation of waves or fluids to the resolution of inverse problems in imaging. Unfortunately, computing the decomposition is itself a hard problem which is oftentimes out of reach for large scale problems. The objective of this work is to design fast decomposition algorithms based on another representation called product-convolution expansion. This decomposition can be evaluated efficiently assuming that a few impulse responses of the operator are available, but it is usually less efficient than the wavelet decomposition when incorporated in iterative methods. The proposed decomposition algorithms, run in quasi-linear time and we provide some numerical experiments to assess its performance for an imaging problem involving space varying blurs.

Published
2020

35. CD300f immune receptor contributes to healthy aging by regulating inflammaging, metabolism, and cognitive decline

Author

Evans, Frances, Alí-Ruiz, Daniela, Rego, Natalia, Negro-Demontel, María Luciana, Lago, Natalia, Cawen, Fabio Andrés, Pannunzio, Bruno, Sanchez-Molina, Paula, Reyes, Laura, Paolino, Andrea, Rodríguez-Duarte, Jorge, Pérez-Torrado, Valentina, Chicote-González, Almudena, Quijano, Celia, Marmisolle, Inés, Mulet, Ana Paula, Schlapp, Geraldine, Meikle, María Noel, Bresque, Mariana, Crispo, Martina, Savio, Eduardo, Malagelada, Cristina, Escande, Carlos, and Peluffo, Hugo

Published
2023
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36. Respective Roles of Surgery, Chemotherapy, and Radiation Therapy for Recurrent Pediatric and Adolescent Ependymoma: A National Multicentric Study

Author

Desrousseaux, Jacques, Claude, Line, Chaltiel, Leonor, Tensaouti, Fatima, Padovani, Laetitia, Bolle, Stephanie, Escande, Alexandre, Alapetite, Claire, Supiot, Stéphane, Bernier-Chastagner, Valérie, Huchet, Aymeri, Leseur, Julie, Truc, Gilles, Leblond, Pierre, Bertozzi, Anne-Isabelle, Ducassou, Anne, and Laprie, Anne

Published
2023
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44. Comprehensive In Vivo Interrogation Reveals Phenotypic Impact of Human Enhancer Variants.

Author

Kvon, Evgeny Z, Zhu, Yiwen, Kelman, Guy, Novak, Catherine S, Plajzer-Frick, Ingrid, Kato, Momoe, Garvin, Tyler H, Pham, Quan, Harrington, Anne N, Hunter, Riana D, Godoy, Janeth, Meky, Eman M, Akiyama, Jennifer A, Afzal, Veena, Tran, Stella, Escande, Fabienne, Gilbert-Dussardier, Brigitte, Jean-Marçais, Nolwenn, Hudaiberdiev, Sanjarbek, Ovcharenko, Ivan, Dobbs, Matthew B, Gurnett, Christina A, Manouvrier-Hanu, Sylvie, Petit, Florence, Visel, Axel, Dickel, Diane E, and Pennacchio, Len A

Subjects
Animals, Humans, Mice, Polydactyly, RNA, Untranslated, Gene Expression Regulation, Developmental, Phenotype, Mutation, Hedgehog Proteins, Enhancer Elements, Genetic, Gene Knock-In Techniques, High-Throughput Screening Assays, CRISPR/Cas9, Sonic hedgehog, ZRS, cis-regulatory element, enhancer, genome editing, limb development, mutation, polydactyly, rare non-coding variant, Genetics, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Establishing causal links between non-coding variants and human phenotypes is an increasing challenge. Here, we introduce a high-throughput mouse reporter assay for assessing the pathogenic potential of human enhancer variants in vivo and examine nearly a thousand variants in an enhancer repeatedly linked to polydactyly. We show that 71% of all rare non-coding variants previously proposed as causal lead to reporter gene expression in a pattern consistent with their pathogenic role. Variants observed to alter enhancer activity were further confirmed to cause polydactyly in knockin mice. We also used combinatorial and single-nucleotide mutagenesis to evaluate the in vivo impact of mutations affecting all positions of the enhancer and identified additional functional substitutions, including potentially pathogenic variants hitherto not observed in humans. Our results uncover the functional consequences of hundreds of mutations in a phenotype-associated enhancer and establish a widely applicable strategy for systematic in vivo evaluation of human enhancer variants.

Published
2020

45. A scalable estimator of sets of integral operators

Author

Debarnot, Valentin, Escande, Paul, and Weiss, Pierre

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

We propose a scalable method to find a subspace $\widehat{\mathcal{H}}$ of low-rank tensors that simultaneously approximates a set of integral operators. The method can be seen as a generalization of the Tucker-2 decomposition model, which was never used in this context. In addition, we propose to construct a convex set $\widehat{\mathcal{C}} \subset \widehat{\mathcal{H}}$ as the convex hull of the observed operators. It is a minimax optimal estimator under the Nikodym metric. We then provide an efficient algorithm to compute projection on $\widehat{\mathcal{C}}$. We observe a good empirical behavior of the method in simulations. The main aim of this work is to improve the identifiability of complex linear operators in blind inverse problems.

Published
2018
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47. Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival

Author

Marie Duhamel, Lauranne Drelich, Maxence Wisztorski, Soulaimane Aboulouard, Jean-Pascal Gimeno, Nina Ogrinc, Patrick Devos, Tristan Cardon, Michael Weller, Fabienne Escande, Fahed Zairi, Claude-Alain Maurage, Émilie Le Rhun, Isabelle Fournier, and Michel Salzet

Subjects
Science
Abstract

Characterisation of molecular heterogeneity in glioblastoma would improve patient stratification. Here, the authors integrate spatial proteomics and clinical data from glioblastoma patients and identify 3 molecular groups and a 5-protein signature that was associated with survival.

Published
2022
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48. INTS13 variants causing a recessive developmental ciliopathy disrupt assembly of the Integrator complex

Author

Lauren G. Mascibroda, Mohammad Shboul, Nathan D. Elrod, Laurence Colleaux, Hanan Hamamy, Kai-Lieh Huang, Natoya Peart, Moirangthem Kiran Singh, Hane Lee, Barry Merriman, Jeanne N. Jodoin, Poojitha Sitaram, Laura A. Lee, Raja Fathalla, Baeth Al-Rawashdeh, Osama Ababneh, Mohammad El-Khateeb, Nathalie Escande-Beillard, Stanley F. Nelson, Yixuan Wu, Liang Tong, Linda J. Kenney, Sudipto Roy, William K. Russell, Jeanne Amiel, Bruno Reversade, and Eric J. Wagner

Subjects
Science
Abstract

The integrator complex is required for the synthesis of protein coding and non-coding RNA and contains the protein INTS13. Here, the authors find germline mutations in INTS13 in two families with oral facial digital syndrome and show that the mutation affects the c-terminal domain of the protein and disrupts cilliogenesis.

Published
2022
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50. 36-month clinical outcomes of patients with venous thromboembolism: GARFIELD-VTE

Author

Loualidi, Ab, Colak, Abdurrahim, Bezuidenhout, Abraham, Abdool-Carrim, Abu, Azeddine, Addala, Beyers, Adriaan, Dees, Adriaan, Mohamed, Ahmed, Aksoy, Ahmet, Abiko, Akihiko, Watanabe, Akinori, Krichell, Alan, Fernandez, Alberto Alfredo, Tosetto, Alberto, Khotuntsov, Alexey, Oropallo, Alisha, Slocombe, Alison, Kelly, Allan, Clark, Amanda, Gad, Amr, Arouni, Amy, Schmidt, Andor, Berni, Andrea, Kleiban, Andres Javier, Machowski, Andrew, Kazakov, Andrey, Galvez, Angel, Lockman, Ann, Falanga, Anna, Chauhan, Anoop, Riera-Mestre, Antoni, Mazzone, Antonino, D'Angelo, Armando, Herdy, Artur, Kato, Atsushi, Salem, Ayman Abd Elhamid Ebrahim Mahmoud, Husin, Azlan, Erdelyi, Barbara, Jacobson, Barry, Amann-Vesti, Beatrice, Battaloglu, Bektas, Wilson, Benedicte, Cosmi, Benilde, Francois, Bergmann Jean, Toufek, Berremeli, Hunt, Beverley, Natha, Bhavesh, Mustafa, Bisher, Kho, Bonnie Chi Shan, Carine, Boulon, Zidel, Brian, Dominique, Brisot, Christophe, Brousse, Trimarco, Bruno, Luo, Canhua, Cuneo, Carlos Alberto, Diaz, Carlos Jerjes Sanchez, Schwencke, Carsten, Cader, Cas, Yavuz, Celal, Zaidman, Cesar Javier, Lunn, Charles, Wu, Chau-Chung, Toh, Cheng Hock, Chiang, Chern-En, Elisa, Chevrier, Hsia, Chien-Hsun, Huang, Chien-Lung, Kwok, Chi-Hang Kevin, Wu, Chih-Cheng, Huang, Chi-Hung, Ward, Chris, Opitz, Christian, Jeanneret-Gris, Christina, Ha, Chung Yin, Huang, Chun-Yao, Bidi, Claude Luyeye, Smith, Clifford, Brauer, Cornelia, Lodigiani, Corrado, Francis, Couturaud, Wu, Cynthia, Staub, Daniel, Theodoro, Daniel, Poli, Daniela, Acevedo, David - Riesco, Adler, David, Jimenez, David, Keeling, David, Scott, David, Imberti, Davide, Creagh, Desmond, Helene, Desmurs-Clavel, Hagemann, Dirk, Le Roux, Dirk, Skowasch, Dirk, Belenky, Dmitry, Dorokhov, Dmitry, Petrov, Dmitry, Zateyshchikov, Dmitry, Prisco, Domenico, Møller, Dorthe, Kucera, Dusan, Esheiba, Ehab M., Panchenko, Elizaveta, Dominique, Elkouri, Dogan, Emre, Kubat, Emre, Diaz, Enrique Diaz, Tse, Eric Wai Choi, Yeo, Erik, Hashas, Erman, 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Hwang, Hun Gyu, Shim, Hyeok, Kim, Igor, Libov, Igor, Sonkin, Igor, Suchkov, Igor, Song, Ik-Chan, Kiris, Ilker, Staroverov, Ilya, Looi, Irene, De La Azuela Tenorio, Isabel M., Savas, Ismail, Gordeev, Ivan, Podpera, Ivo, Lee, Jae Hoon, Sathar, Jameela, Welker, James, Beyer-Westendorf, Jan, Kvasnicka, Jan, Vanwelden, Jan, Kim, JangYong, Svobodova, Jaromira, Gujral, Jaspal, Marino, Javier, Galvar, Javier Tristan, Kassis, Jeannine, Kuo, Jen-Yuan, Shih, Jhih-Yuan, Kwon, JiHyun, Joh, Jin Hyun, Park, Jin Hyun, Kim, Jin Seok, Yang, Jinghua, Krupicka, Jiri, Lastuvka, Jiri, Pumprla, Jiri, Vesely, Jiri, Souto, Joan Carlos, Correa, João Antônio, Duchateau, Johan, Fletcher, John Perry, del Toro, Jorge, Paez, Jorge Guillermo Chavez, Nielsen, Jørn, Filho, Jose Dalmo Araujo, Saraiva, Jose, Peromingo, Jose Antonio Diaz, Lara, Jose Gomez, Fedele, Jose Luis, Surinach, Jose Maria, Chacko, Joseph, Muntaner, Juan Antonio, Benitez, Juan Carlos Álvarez, Abril, Juan Moreno Hoyos, Humphrey, Julian, Bono, Julio, Kanda, Junji, Boondumrongsagoon, Juree, Yiu, Kai Hang, Chansung, Kanchana, Boomars, Karin, Burbury, Kate, Kondo, Katsuhiro, Karaarslan, Kemal, Takeuchi, Kensuke, Kroeger, Knut, Zrazhevskiy, Konstantin, Svatopluk, Koscál, Shyu, Kou-Gi, Vandenbosch, Kristel, Chang, Kuan-Cheng, Chiu, Kuan-Ming, Jean-Manuel, Kubina, Wern, Kwan Jing, Ueng, Kwo-Chang, Norasetthada, Lalita, Binet, Laure, Chew, Lee Ping, Zhang, Lei, Cristina, Leone Maria, Tick, Lidwine, Schiavi, Lilia Beatriz, Wong, Lily Lee Lee, Borges, Lohana, Botha, Louis, Capiau, Luc, Timmermans, Luc, López, Luciano Eduardo, Ria, Luigi, Blasco, Luis Manuel Hernandez, Guzman, Luis Alberto, Cervera, Luis Flota, Isabelle, Mahe, Bosch, Manuel Monreal, de los Rios Ibarra, Manuel, Fernandez, Manuel Núñez, Carrier, Marc, Barrionuevo, Marcelo Raul, Gamba, Marco Antonio Alcocer, Cattaneo, Marco, Moia, Marco, Bowers, Margaret, Chetanachan, Mariam, Berli, Mario Alberto, Fixley, Mark, Faghih, Markus, Stuecker, Markus, Schul, Marlin, Banyai, Martin, 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Sevestre-Pietri, Maasdorp, Shaun, Sun, Shenghua, Wang, Shenming, Essameldin, Sherif Mohamed, Sholkamy, Sherif Mohamed, Kuki, Shintaro, Goto, Shinya, Yoshida, Shuichi, Matsuoka, Shunzo, McRae, Simon, Watt, Simon, Patanasing, Siriwimon, Jean-Léopold, Siwe-Nana, Wongkhantee, Somchai, Bang, Soo-Mee, Testa, Sophie, Zemek, Stanislav, Behrens, Steffen, Dominique, Stephan, Mellor, Stuart, Singh, Suaran Singh Gurcharan, Datta, Sudip, Chayangsu, Sunee, Solymoss, Susan, Everington, Tamara, Abdel-Azim, Tarek Ahmed Adel, Suwanban, Tawatchai, Adademir, Taylan, Hart, Terence, Béatrice, Terriat, Luvhengo, Thifhelimbilu, Horacek, Thomas, Zeller, Thomas, Boussy, Tim, Reynolds, Tim, Biss, Tina, Chao, Ting-Hsing, Casabella, Tomas Smith, Onodera, Tomoya, Numbenjapon, Tontanai, Gerdes, Victor, Cech, Vladimir, Krasavin, Vladimir, Tolstikhin, Vladimir, Bax, W.A., Malek, Wagih Fawzy Abdel, Ho, Wai Khoon, Ageno, Walter, Pharr, Walter, Jiang, Weihong, Lin, Wei-Hsiang, Zhang, Weihua, Tseng, Wei-Kung, Lai, Wen-Ter, De Backer, Wilfried, Haverkamp, Wilhelm, Yoshida, Winston, Korte, Wolfgang, Choi, Won Il, Kim, Yang-Ki, Tanabe, Yasuhiro, Ohnuma, Yasushi, Mun, Yeung-Chul, Balthazar, Yohan, Park, Yong, Shibata, Yoshisato, Burov, Yuriy, Subbotin, Yuriy, Coufal, Zdenek, Yang, Zhenwen, Jing, Zhicheng, Yang, Zhongqi, Turpie, Alexander G.G., Farjat, Alfredo E., Haas, Sylvia, Weitz, Jeffrey I., Goldhaber, Samuel Z., Kayani, Gloria, Lopes, Renato D., Tse, Eric, Muntaner, Juan, Prandoni, Paolo, Maheshwari, Uma, and Kakkar, Ajay K.

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2023
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