Sara Kališnik
Revista Matemática Complutense · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sara Kališnik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sara Kališnik's perspective
Ordered by how strongly the researchers Sara Kališnik trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum Likelihood Estimation of Intrinsic Dimension
- Algorithms for Clustering Data
- Numerically Solving Polynomial Systems with Bertini (Software, environments, tools)
- Estimating the reach of a manifold (Electronic Journal of Statistics)
- Julia: A Fresh Approach to Numerical Computing
- Semidefinite Optimization and Convex Algebraic Geometry
- Geometry of the Restricted Boltzmann Machine
- Intrinsic dimension estimation: Advances and open problems
- Regression Shrinkage and Selection via the Lasso
- Nonlinear dimensionality reduction by locally linear embedding.
Their papers
- Learning algebraic varieties from samples (2018) — 56 citations