38 citations
- Illumina (United States)US2 papers
- Office of Nuclear EnergyUS2 papers
- Office of ScienceUS2 papers
- Purdue University West LafayetteUS2 papers
- Aarhus UniversityDK1 paper
- Advanced Energy (United States)US1 paper
- Centre for Development of Advanced ComputingIN1 paper
- Computing CenterRU1 paper
- Eindhoven University of TechnologyNL1 paper
- ETH ZurichCH1 paper
- Health FirstUS1 paper
- Heidelberg Institute for Theoretical StudiesDE1 paper
14 papers
The sensitivity and behaviour of the curvature in the échelle diagram of red-giant stars
S. Hekker, Y. Elsworth, S. Basu +5
In the convective envelopes of relatively cool stars, oscillations are excited by turbulent convection. In these so-called solar-like oscillators, radial oscillation modes appear a…
Context-Mediated Domain Adaptation in Multi-Agent Sensemaking Systems
Anton Wolter, Leon Haag, Vaishali Dhanoa +1
Domain experts possess tacit knowledge that they cannot easily articulate through explicit specifications. When experts modify AI-generated artifacts by correcting terminology, res…
Adaptive Robust Learning using Latent Bernoulli Variables
Aleksandr Karakulev, Dave Zachariah, Prashant Singh
We present an adaptive approach for robust learning from corrupted training sets. We identify corrupted and non-corrupted samples with latent Bernoulli variables and thus formulate…
Modelling Surface Light Scattering in the Context of Freeform Optical Design
Vì C. E. Kronberg, Martijn J. H. Anthonissen, Jan H. M. ten Thije Boonkkamp +1
We present a novel approach of modelling surface light scattering in the context of freeform optical design. The model relies on energy conservation and optimal transport theory. F…
A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision
Lu Xia, Martijn Anthonissen, Michiel Hochstenbach +1
Conventional stochastic rounding (CSR) is widely employed in the training of neural networks (NNs), showing promising training results even in low-precision computations. We introd…
A fast spectral method for the Boltzmann collision operator with general collision kernels
Irene M. Gamba, Jeffrey R. Haack, Cory D. Hauck +1
We propose a simple fast spectral method for the Boltzmann collision operator with general collision kernels. In contrast to the direct spectral method \cite{PR00, GT09} which requ…