22 citations
- Département d'InformatiqueFR3 papers
- École Normale Supérieure - PSLFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Argosy UniversityUS1 paper
- Collège de FranceFR1 paper
- Courant Institute of Mathematical SciencesUS1 paper
- Département de mathématiques et applicationsFR1 paper
- Eindhoven University of TechnologyNL1 paper
- Flatiron Health (United States)US1 paper
- Flatiron Institute1 paper
- Geometric (India)IN1 paper
9 papers
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 .…
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Edwige Cyffers, Mathieu Even, Aurélien Bellet +1
Decentralized optimization is increasingly popular in machine learning for its scalability and efficiency. Intuitively, it should also provide better privacy guarantees, as nodes o…
Analysis of a Spatially Correlated Vehicular Network Assisted by Cox-distributed Vehicle Relays
Chang-Sik Choi, François Baccelli
In vehicle-to-all (V2X) communications, roadside units (RSUs) play an essential role in connecting various network devices. In some cases, users may not be well-served by RSUs due…
Coupling from the Past for the Null Recurrent Markov Chain
François Baccelli, Mir-Omid Haji-Mirsadeghi, Sayeh Khaniha
The Doeblin Graph of a countable state space Markov chain describes the joint pathwise evolutions of the Markov dynamics starting from all possible initial conditions, with two pat…
Online Stochastic Matching: A Polytope Perspective
C{é}line Comte, Fabien Mathieu, Sushil Mahavir Varma +1
Stochastic dynamic matching problems have recently gained attention in the stochastic-modeling community due to their diverse applications, such as supply-chain management and kidn…
Particle gradient descent model for point process generation
Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat +1
This paper presents a statistical model for stationary ergodic point processes, estimated from a single realization observed in a square window. With existing approaches in stochas…