26 citations · 50 across the 8 of their papers we have counts for
15 papers
Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality
Luke Hyman, Ivo F. Sbalzarini, Stephen Quake +1
The CellxGene project has enabled access to single-cell data in the scientific community, providing tools for browsed-based no-code analysis of more than 500 annotated datasets. Ho…
Learning deterministic hydrodynamic equations from stochastic active particle dynamics
Suryanarayana Maddu, Quentin Vagne, Ivo F. Sbalzarini
We present a principled data-driven strategy for learning deterministic hydrodynamic models directly from stochastic non-equilibrium active particle trajectories. We apply our meth…
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
Suryanarayana Maddu, Dominik Sturm, Christian L. Müller +1
We characterize and remedy a failure mode that may arise from multi-scale dynamics with scale imbalances during training of deep neural networks, such as Physics Informed Neural Ne…
A Mathematical Definition of Particle Methods
Johannes Bamme, Ivo F. Sbalzarini
We provide a formal definition for a class of algorithms known as "particle methods". Particle methods are used in scientific computing. They include popular simulation methods, su…
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman +2
Numerical methods for approximately solving partial differential equations (PDE) are at the core of scientific computing. Often, this requires high-resolution or adaptive discretiz…
Letter to the Editor and Comments on: Intravital dynamic and correlative imaging reveals diffusion-dominated canalicular and flow-augmented ductular bile flux
Lutz Brusch, Yannis Kalaidzidis, Kirstin Meyer +2
Bile, the central metabolic product of the liver, is secreted by hepatocytes into bile canaliculi (BC), tubular subcellular structures of 0.5-2 m diameter which are formed by th…