927 citations
- Institut national de recherche en sciences et technologies du numériqueFR10 papers
- École Normale Supérieure - PSLFR3 papers
- Centre Inria de SaclayFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Laboratoire de Recherche en InformatiqueFR2 papers
- COSMIQ: Cryptologie symétrique, cryptologie fondée sur les codes et information quantiqueFR1 paper
- Data61AU1 paper
- Département de mathématiques et applicationsFR1 paper
- Département d'InformatiqueFR1 paper
- DYOGENE: Dynamics of Geometric NetworksFR1 paper
- Institut de Mathématiques de BordeauxFR1 paper
- MAGNET: Machine Learning in Information NetworksFR1 paper
11 papers
Look Ma, no markers: holistic performance capture without the hassle
Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian +8
We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typ…
Fast erasure decoder for hypergraph product codes
Nicholas Connolly, Vivien Londe, Anthony Leverrier +1
We propose a decoder for the correction of erasures with hypergraph product codes, which form one of the most popular families of quantum LDPC codes. Our numerical simulations show…
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…
Probabilistic and mean-field model of COVID-19 epidemics with user mobility and contact tracing
M. Akian, L. Ganassali, S. Gaubert +1
We propose a detailed discrete-time model of COVID-19 epidemics coming in two flavours, mean-field and probabilistic. The main contribution lies in several extensions of the basic…
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
Hadrien Hendrikx, Francis Bach, Laurent Massoulié
We consider the problem of training machine learning models on distributed data in a decentralized way. For finite-sum problems, fast single-machine algorithms for large datasets r…
Towards local testability for quantum coding
Anthony Leverrier, Vivien Londe, Gilles Zémor
We introduce the hemicubic codes, a family of quantum codes obtained by associating qubits with the -faces of the -cube (for ) and stabilizer constraints with faces of d…