2.8k citations
- Max Planck SocietyDE261 papers
- Saarland UniversityDE124 papers
- Technische Universität BerlinDE55 papers
- Centre National de la Recherche ScientifiqueFR41 papers
- Korea UniversityKR41 papers
- Stanford UniversityUS25 papers
- Institut national de recherche en sciences et technologies du numériqueFR24 papers
- ETH ZurichCH21 papers
- Helmholtz Center for Information SecurityDE20 papers
- Technical University of MunichDE20 papers
- Université de LorraineFR17 papers
- University of LuxembourgLU16 papers
38 papers · 1 filter
A Computational Approach to Polynomial Conservation Laws
Aurélien Desoeuvres, Alexandru Iosif, Christoph Lüders +4
For polynomial ODE models, we introduce and discuss the concepts of exact and approximate conservation laws, which are the first integrals of the full and truncated sets of ODEs. F…
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence
Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Kernel machines have sustained continuous progress in the field of quantum chemistry. In particular, they have proven to be successful in the low-data regime of force field reconst…
An Algorithmic Bridge Between Hamming and Levenshtein Distances
Elazar Goldenberg, Tomasz Kociumaka, Robert Krauthgamer +1
The edit distance between strings classically assigns unit cost to every character insertion, deletion, and substitution, whereas the Hamming distance only allows substitutions. In…
An Implicit Parametric Morphable Dental Model
Congyi Zhang, Mohamed Elgharib, Gereon Fox +3
3D Morphable models of the human body capture variations among subjects and are useful in reconstruction and editing applications. Current dental models use an explicit mesh scene…
FlowDNS: Correlating Netflow and DNS Streams at Scale
Aniss Maghsoudlou, Oliver Gasser, Ingmar Poese +1
Knowing customer's interests, e.g. which Video-On-Demand (VoD) or Social Network services they are using, helps telecommunication companies with better network planning to enhance…
Scalable multi-class sampling via filtered sliced optimal transport
Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel +1
We propose a multi-class point optimization formulation based on continuous Wasserstein barycenters. Our formulation is designed to handle hundreds to thousands of optimization obj…