15 citations
- University of CambridgeGB7 papers
- Institute of AstronomyRU5 papers
- Ludwig-Maximilians-Universität MünchenDE5 papers
- Max Planck Institute for Extraterrestrial PhysicsDE5 papers
- Bielefeld UniversityDE3 papers
- Stanford UniversityUS3 papers
- University of ChicagoUS3 papers
- Argonne National LaboratoryUS2 papers
- Barcelona Institute of Science and TechnologyES2 papers
- California Institute of TechnologyUS2 papers
- California University of PennsylvaniaUS2 papers
- Center for Astrophysics Harvard & SmithsonianUS2 papers
16 papers
Choosing a parallel heterogeneous ensemble method for tabular classification
Vassili Maillet, Gustavo, Angulo +1
Parallel ensemble methods were compared on small-to-medium tabular classification tasks drawn from OpenML CC18. A set of ``best practice'' recommendations on the use of ensemb…
Morphological Representation Theory in the Fourier Inf-Semilattice: Universal Decomposition of Frequency-Domain Deep Learning Operators
Gustavo, Angulo
We develop a morphological representation theory for operators acting in the frequency domain of . Equipping the space with the \emph{Fourier inf-semilattice} or…
Lattice theory and algebraic models for deep convolutional learning based on mathematical morphology
Gustavo, Angulo
We develop a rigorous algebraic framework for deep convolutional architectures, CNNs, ResNets, and encoder--decoder networks such as UNet, grounded in lattice theory and mathematic…
pop-cosmos: Redshifts and physical properties of KiDS-1000 galaxies
Anik Halder, Hiranya V. Peiris, Stephen Thorp +8
Principled Bayesian inference of galaxy properties has not previously been performed for wide-area weak lensing surveys with millions of sources. We address this gap by applying th…
Control Models for In-IDE Code Completion
Aral de Moor, Yana Hrynevich, Hleb Badzeika +6
We introduce control models for LLM-powered code completion in JetBrains IDEs: ML classifiers which trigger inference and filter the generated suggestions to better align them with…
Simulation-based inference with the integrated 3PCF
David Gebauer, Anik Halder, Stella Seitz +1
We present , a simulation-based inference (SBI) framework for analysing a higher-order weak lensing statistic, the integrated 3-point correlation function (i3PCF)…