Shrinking Trees not Blossoms: A Recursive Maximum Matching Approach. - Andre Droschinsky; Petra Mutzel; Erik Thordsen (ALENEX, 2020)

ABID: Angle Based Intrinsic Dimensionality. - Erik Thordsen; Erich Schubert (SISAP, 2020)

CANDLE: Classification And Noise Detection With Local Embedding Approximations. - Erik Thordsen; Erich Schubert (LWDA, 2021)

MESS: Manifold Embedding Motivated Super Sampling. - Erik Thordsen; Erich Schubert (SISAP, 2021)

On Projections to Linear Subspaces. - Erik Thordsen; Erich Schubert (SISAP, 2022)

ABID: Angle Based Intrinsic Dimensionality - Theory and analysis. - Erik Thordsen; Erich Schubert (Inf. Syst., 2022)

An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search. - Erik Thordsen; Erich Schubert (SISAP, 2023)

Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting. - Erik Thordsen; Erich Schubert (SISAP, 2024)

Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry. - Erik Thordsen; Erich Schubert (CoRR, 2024)

An Alternating Optimization Scheme for Binary Sketches. - Erik Thordsen; Erich Schubert (Inf. Syst., 2025)