253 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Max Planck Institute for Intelligent SystemsDE6 papers
- University of TübingenDE4 papers
- Bernstein Center for Computational Neuroscience TübingenDE1 paper
- Cardiff UniversityGB1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- ETH ZurichCH1 paper
- Harvard UniversityUS1 paper
- Max Planck Institute for Gravitational PhysicsDE1 paper
- Pennsylvania State UniversityUS1 paper
- Solutions Through Innovative Technologies (United States)US1 paper
- The Institute of Statistical MathematicsJP1 paper
- University of California, BerkeleyUS1 paper
6 papers
Compliant But Unsatisfactory: The Gap Between Auditing Standards and Practices for Probabilistic Genotyping Software
Angela Jin, Alexander Asemota, Dan E. Krane +2
AI governance efforts increasingly rely on audit standards: agreed-upon practices for conducting audits. However, poorly designed standards can hide and lend credibility to inadequ…
Real-time gravitational-wave inference for binary neutron stars using machine learning
Maximilian Dax, Stephen R. Green, Jonathan Gair +7
Mergers of binary neutron stars (BNSs) emit signals in both the gravitational-wave (GW) and electromagnetic (EM) spectra. Famously, the 2017 multi-messenger observation of GW170817…
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer +1
Extracting behavioral measurements non-invasively from video is stymied by the fact that it is a hard computational problem. Recent advances in deep learning have tremendously adva…
Analytical classical density functionals from an equation learning network
Shang-Chun Lin, Georg Martius, Martin Oettel
We explore the feasibility of using machine learning methods to obtain an analytic form of the classical free energy functional for two model fluids, hard rods and Lennard--Jones,…
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
Motonobu Kanagawa, Bharath K. Sriperumbudur, Kenji Fukumizu
This paper presents a convergence analysis of kernel-based quadrature rules in misspecified settings, focusing on deterministic quadrature in Sobolev spaces. In particular, we deal…
Large sample analysis of the median heuristic
Damien Garreau, Wittawat Jitkrittum, Motonobu Kanagawa
In kernel methods, the median heuristic has been widely used as a way of setting the bandwidth of RBF kernels. While its empirical performances make it a safe choice under many cir…