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Papers matching “performance dimensions” 9

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Efficient construction of Lie group-equivariant and permutation-invariant spaces
2026 arXiv (Cornell University) preprint Mathematics Finite Group Theory Research Open access

Eloïse Barthelemy, Geneviève Dusson, Camille Hernandez, Liwei Zhang

0

citations
Choosing the right MCMC sampler: a systematic benchmark of gradient-free methods
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Colin M. Poppelaars, Marcel P. van Daalen

0

citations
CHRRT: boosting coordinate hit-and-run with rounding by thinning
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Johann F. Jadebeck, Wolfgang Wiechert, Katharina Nöh

1

citations
Projection inference for high-dimensional covariance matrices with structured shrinkage targets
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Fabian Mies, Ansgar Steland

0

citations
Inverse parameter and shape problem for an isotropic scatterer with two conductivity coefficients
2024 arXiv (Cornell University) preprint Mathematics Numerical methods in inverse problems Open access

Rafael Ceja Ayala, Isaac Harris, Andreas Kleefeld

1

citations
A relaxation system for the low-Mach limit of kinetic equations: Stability and higher order asymptotic preserving scheme
2026 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Giacomo Dimarco, Axel Klar, Theresa Köfler, Lorenzo Pareschi, Sudarshan Tiwari, Yizhou Zhou

0

citations
Resampling-Based Multisplit Inference for High-Dimensional Regression
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Anna Vesely, Jelle J. Goeman, Livio Finos

0

citations
Deformations of acid-mediated invasive tumors in a model with Allee effect
2024 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Paul M. Carter, Arjen Doelman, Peter van Heijster, Philip K. Maini, Erin Okey, Paige Yeung

0

citations
Principal Covariate Regression with Nuclear Norm Penalty
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Kaiwen Liu, Lisa Verbeij, Wouter Weeda, Mark de Rooij

0

citations

9 results