67 citations
- Computer Algorithms for MedicineAT9 papers
- Institut national de recherche en sciences et technologies du numériqueFR7 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR4 papers
- Centre Inria de l'Université de LorraineFR3 papers
- Département d'InformatiqueFR3 papers
- École Normale Supérieure - PSLFR3 papers
- École PolytechniqueFR3 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR3 papers
- Microsoft Research (India)IN3 papers
- OURAGAN: Outils de Résolution Algébriques pour la Géométrie et ses ApplicationsFR3 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
47 papers
Three-view Focal Length Recovery From Homographies
Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová +4
In this paper, we propose a novel approach for recovering focal lengths from three-view homographies. By examining the consistency of normal vectors between two homographies, we de…
Genealogies of records of stochastic processes with stationary increments as unimodular trees
François Baccelli, Bharath Roy Choudhury
Consider a stationary sequence of integer-valued random variables with mean . Let be the stochastic process with increments and suc…
Convergence beyond the over-parameterized regime using Rayleigh quotients
David A. R. Robin, Kevin Scaman, Marc Lelarge
In this paper, we present a new strategy to prove the convergence of deep learning architectures to a zero training (or even testing) loss by gradient flow. Our analysis is centere…
On Non-Linear operators for Geometric Deep Learning
Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna +1
This work studies operators mapping vector and scalar fields defined over a manifold , and which commute with its group of diffeomorphisms .…
Online greedy identification of linear dynamical systems
Matthieu Blanke, Marc Lelarge
This work addresses the problem of exploration in an unknown environment. For linear dynamical systems, we use an experimental design framework and introduce an online greedy polic…
Generalized Rectifier Wavelet Covariance Models For Texture Synthesis
Antoine Brochard, Sixin Zhang, Stéphane Mallat
State-of-the-art maximum entropy models for texture synthesis are built from statistics relying on image representations defined by convolutional neural networks (CNN). Such repres…