742 citations
- Institut national de recherche en sciences et technologies du numériqueFR150 papers
- École PolytechniqueFR87 papers
- Centre National de la Recherche ScientifiqueFR58 papers
- Université Paris-SaclayFR44 papers
- Laboratoire de Recherche en InformatiqueFR25 papers
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- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR19 papers
- Laboratoire de Mathématiques d'OrsayFR15 papers
- Université Paris-SudFR14 papers
- CEA Paris-SaclayFR11 papers
- Institut Polytechnique de ParisFR11 papers
- Sorbonne UniversitéFR11 papers
8 papers · 1 filter
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li, Nicolas Donati, Maks Ovsjanikov
In this work, we present a novel non-rigid shape matching framework based on multi-resolution functional maps with spectral attention. Existing functional map learning methods all…
The art of algorithmic guessing in
Sergey Yurkevich
The technique of guessing can be very fruitful when dealing with sequences which arise in practice. This holds true especially when guessing is performed algorithmically and effici…
Timed Alignments
Thomas Chatain, Neha Rino
The subject of this paper is to study conformance checking for timed models, that is, process models that consider both the sequence of events in a process as well as the timestamp…
Topological phase estimation method for reparameterized periodic functions
Thomas Bonis, Frédéric Chazal, Bertrand Michel +1
We consider a signal composed of several periods of a periodic function, of which we observe a noisy reparametrisation. The phase estimation problem consists of finding that repara…
Deconvolution of spherical data corrupted with unknown noise
Jérémie Capitao-Miniconi, Elisabeth Gassiat
We consider the deconvolution problem for densities supported on a -dimensional sphere with unknown center and unknown radius, in the situation where the distribution of the…
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup +18
Transfer learning and meta-learning offer some of the most promising avenues to unlock the scalability of healthcare and consumer technologies driven by biosignal data. This is bec…