978 citations
- École Normale Supérieure - PSLFR306 papers
- Centre National de la Recherche ScientifiqueFR135 papers
- Institut national de recherche en sciences et technologies du numériqueFR94 papers
- Université Paris Sciences et LettresFR89 papers
- Université Paris CitéFR23 papers
- Sorbonne UniversitéFR19 papers
- SIERRA: Apprentissage Statistique et optimisationFR17 papers
- Université de MontréalCA15 papers
- École Polytechnique Fédérale de LausanneCH14 papers
- Czech Technical University in PragueCZ13 papers
- École PolytechniqueFR13 papers
- University of EdinburghGB13 papers
51 papers · 1 filter
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation
Waïss Azizian, Guillaume Baudart, Marc Lelarge
Exact Bayesian inference on state-space models~(SSM) is in general untractable, and unfortunately, basic Sequential Monte Carlo~(SMC) methods do not yield correct approximations fo…
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation
Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito +2
This paper introduces a novel approach to the fine alignment of images in a burst captured by a handheld camera. In contrast to traditional techniques that estimate two-dimensional…
Towards a Unified Quantum Protocol Framework: Classification, Implementation, and Use Cases
Shraddha Singh, Mina Doosti, Natansh Mathur +4
We present a framework for the unification and standardization of quantum network protocols, making their realization easier and expanding their use cases to a broader range of com…
Strong Convexity of Sets in Riemannian Manifolds
Damien Scieur, David Martínez-Rubio, Thomas Kerdreux +2
Curvature properties of convex objects, such as strong convexity, are important in designing and analyzing convex optimization algorithms in the Hilbertian or Riemannian settings.…
Dense Optical Tracking: Connecting the Dots
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Recent approaches to point tracking are able to recover the trajectory of any scene point through a large portion of a video despite the presence of occlusions. They are, however,…
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, Marc Lelarge
Machine learning methods can be a valuable aid in the scientific process, but they need to face challenging settings where data come from inhomogeneous experimental conditions. Rec…