Martin Ritzert

activity

20172026

most citedGraph Machine Learning for Design of High-Octane Fuels

36 citations · 116 across the 26 of their papers we have counts for

collaborators

29 papers

cs.LG2026

Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning

Umer Gupta, Saku Peltonen, Martin Ritzert

Tree-like branching structures are common in nature, from botanical trees to neurons, blood vessels and respiratory trees. Their branching shape often reflects function, making str…

stat.ML2025

Hierarchical clustering with maximum density paths and mixture models

Martin Ritzert, Polina Turishcheva, Laura Hansel +3

Hierarchical clustering is an effective, interpretable method for analyzing structure in data. It reveals insights at multiple scales without requiring a predefined number of clust…

cs.LG2025★ 1 cited

Internal Evaluation of Density-Based Clusterings with Noise

Anna Beer, Lena Krieger, Pascal Weber +3

Being able to evaluate the quality of a clustering result even in the absence of ground truth cluster labels is fundamental for research in data mining. However, most cluster valid…

cs.LG2024

MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions

Polina Turishcheva, Laura Hansel, Martin Ritzert +2

Driven by advances in recording technology, large-scale high-dimensional datasets have emerged across many scientific disciplines. Especially in biology, clustering is often used t…

cs.LG2024

Distinguished In Uniform: Self Attention Vs. Virtual Nodes

Eran Rosenbluth, Jan Tönshoff, Martin Ritzert +2

Graph Transformers (GTs) such as SAN and GPS are graph processing models that combine Message-Passing GNNs (MPGNNs) with global Self-Attention. They were shown to be universal func…

cs.LG2024

Boosting, Voting Classifiers and Randomized Sample Compression Schemes

Arthur da Cunha, Kasper Green Larsen, Martin Ritzert

In boosting, we aim to leverage multiple weak learners to produce a strong learner. At the center of this paradigm lies the concept of building the strong learner as a voting class…

cs.LG2023

Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark

Jan Tönshoff, Martin Ritzert, Eran Rosenbluth +1

The recent Long-Range Graph Benchmark (LRGB, Dwivedi et al. 2022) introduced a set of graph learning tasks strongly dependent on long-range interaction between vertices. Empirical…

cs.LG2023★ 1 cited

AdaBoost is not an Optimal Weak to Strong Learner

Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert

AdaBoost is a classic boosting algorithm for combining multiple inaccurate classifiers produced by a weak learner, to produce a strong learner with arbitrarily high accuracy when g…

hep-ex2022★ 3 cited

Determination of $∣ V_{u b} ∣$ from untagged $B^{0} \to π^{-} ℓ^{+} ν_{ℓ}$ decays using 2019-2021 Belle II data

Belle II Collaboration, K. Adamczyk, L. Aggarwal +588

We present an analysis of the charmless semileptonic decay $B^{0} \to π^{-} ℓ^{+} ν_{ℓ}$ , where $ℓ = e, μ$ , from 198.0 million pairs of $B B ˉ$ mesons recorded by the Belle II…

hep-ex2022★ 2 cited

Angular analysis of $B^{+} \to ρ^{+} ρ^{0}$ decays reconstructed in 2019, 2020, and 2021 Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +590

We report on a Belle II measurement of the branching fraction ( $B$ ), longitudinal polarization fraction ( $f_{L}$ ), and CP asymmetry ( $A_{C P}$ ) of $B^{+} \to ρ^{+} ρ^{0}$ …

hep-ex2022

Measurement of the branching fraction of the $B^{0} \to K_{S}^{0} π^{0} γ$ decay using 190 fb $^{- 1}$ of Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +590

We report the measurement of the branching fraction of the $B^{0} \to K_{S}^{0} π^{0} γ$ decay in $e^{+} e^{-} \to Υ (4 S) \to B B$ data recorded by the Belle II experiment at the Sup…

cs.LG2022★ 4 cited

Optimal Weak to Strong Learning

Kasper Green Larsen, Martin Ritzert

The classic algorithm AdaBoost allows to convert a weak learner, that is an algorithm that produces a hypothesis which is slightly better than chance, into a strong learner, achiev…

cs.LG2022★ 36 cited

Graph Machine Learning for Design of High-Octane Fuels

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann +7

Fuels with high-knock resistance enable modern spark-ignition engines to achieve high efficiency and thus low CO2 emissions. Identification of molecules with desired autoignition p…

hep-ex2021

Measurements of the branching fractions for $B \to K^{*} γ$ decays at Belle II

F. Abudinén, I. Adachi, R. Adak +565

This paper reports a study of $B \to K^{*} γ$ decays using $62.8 \pm 0.6$ fb $^{- 1}$ of data collected during 2019--2020 by the Belle II experiment at the SuperKEKB $e^{+} e^{-}$ asymm…

hep-ex2021

Angular analysis of $B^{+} \to ρ^{+} ρ^{0}$ decays reconstructed in 2019-2020 Belle II data

Belle II collaboration, F. Abudinén, I. Adachi +549

We report on the first Belle II measurement of the branching fraction ( $B$ ) and longitudinal polarization fraction ( $f_{L}$ ) of $B^{+} \to ρ^{+} ρ^{0}$ decays. We reconstruct $B^+\…

hep-ex2021

Measurements of branching fractions and CP-violating charge asymmetries in multibody charmless $B$ decays reconstructed in 2019-2020 Belle II data

Belle II collaboration, F. Abudinén, I. Adachi +549

We report on measurements of branching fractions ( $B$ ) and CP-violating charge asymmetries ( $A_{CP}$ ) of multibody charmless $B$ decays reconstructed by the…

hep-ex2021

Measurement of the branching fraction for $B^{0} \to π^{0} π^{0}$ decays reconstructed in 2019-2020 Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +551

We report the first reconstruction of the $B^{0} \to π^{0} π^{0}$ decay mode at Belle II using samples of 2019 and 2020 data that correspond to 62.8 fb $^{- 1}$ of integrated luminos…

hep-ex2021★ 1 cited

Measurements of branching fractions and direct CP asymmetries in $B^{0} \to K^{+} π^{-}$ , $B^{+} \to K_{S}^{0} π^{+}$ and $B^{0} \to π^{+} π^{-}$ using 2019 and 2020 data

Belle II Collaboration, F. Abudinén, I. Adachi +549

We report updated measurements of branching fractions ( $B$ ) and CP-violating charge asymmetries ( $A_{CP}$ ) for charmless $B$ decays at Belle II, which opera…

hep-ex2021

Measurement of the branching fractions of $B \to η^{'} K$ decays using 2019/2020 Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +545

This note describes the rediscovery of $B \to η^{'} K$ decays in Belle II data, both in the charged and neutral final state: $B_{0} \to η^{'} K_{S}$ and $B^{\pm} \to η^{'} K^{\pm}$ . The $η^{'}$ is searched…

hep-ex2021★ 1 cited

Measurements of branching fractions and direct $CP$ -violating asymmetries in $B^+ \to K^+ π^0~\mbox{and}~π^+ π^0$ decays using 2019 and 2020 Belle II data

F. Abudinén, I. Adachi, R. Adak +549

We report measurements of branching fractions ( $B$ ) and direct $CP$ -violating asymmetries ( $A_{CP}$ ) for the decays $B^{+} \to K^{+} π^{0}$ and $B^{+} \to π^{+} π^{0}$ …

cs.LO2021

On the Parameterized Complexity of Learning First-Order Logic

Steffen van Bergerem, Martin Grohe, Martin Ritzert

We analyse the complexity of learning first-order queries in a model-theoretic framework for supervised learning introduced by (Grohe and Turán, TOCS 2004). Previous research on th…

cs.LG2021★ 1 cited

Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf +1

We propose CRaWl, a novel neural network architecture for graph learning. Like graph neural networks, CRaWl layers update node features on a graph and thus can freely be combined o…

cs.LG2020★ 16 cited

The Effects of Randomness on the Stability of Node Embeddings

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert +6

We systematically evaluate the (in-)stability of state-of-the-art node embedding algorithms due to randomness, i.e., the random variation of their outcomes given identical algorith…

hep-ex2019★ 36 cited

Measurement of the integrated luminosity of the Phase 2 data of the Belle II experiment

Belle II Collaboration, F. Abudinén, I. Adachi +420

From April to July 2018, a data sample at the peak energy of the $Υ (4 S)$ resonance was collected with the Belle~II detector at the SuperKEKB electron-positron collider. This is the…

Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning

Hierarchical clustering with maximum density paths and mixture models

Internal Evaluation of Density-Based Clusterings with Noise

MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions

Distinguished In Uniform: Self Attention Vs. Virtual Nodes

Boosting, Voting Classifiers and Randomized Sample Compression Schemes

Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark

AdaBoost is not an Optimal Weak to Strong Learner

Determination of ∣Vub​∣ from untagged B0→π−ℓ+νℓ​ decays using 2019-2021 Belle II data

Angular analysis of B+→ρ+ρ0 decays reconstructed in 2019, 2020, and 2021 Belle II data

Measurement of the branching fraction of the B0→KS0​π0γ decay using 190 fb−1 of Belle II data

Optimal Weak to Strong Learning

Graph Machine Learning for Design of High-Octane Fuels

Measurements of the branching fractions for B→K∗γ decays at Belle II

Angular analysis of B+→ρ+ρ0 decays reconstructed in 2019-2020 Belle II data

Measurements of branching fractions and CP-violating charge asymmetries in multibody charmless B decays reconstructed in 2019-2020 Belle II data

Measurement of the branching fraction for B0→π0π0 decays reconstructed in 2019-2020 Belle II data

Measurements of branching fractions and direct CP asymmetries in B0→K+π−, B+→KS0​π+ and B0→π+π− using 2019 and 2020 data

Measurement of the branching fractions of B→η′K decays using 2019/2020 Belle II data

Measurements of branching fractions and direct CP-violating asymmetries in $B^+ \to K^+ π^0~\mbox{and}~π^+ π^0$ decays using 2019 and 2020 Belle II data

On the Parameterized Complexity of Learning First-Order Logic

Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing

The Effects of Randomness on the Stability of Node Embeddings

Measurement of the integrated luminosity of the Phase 2 data of the Belle II experiment

Determination of $∣ V_{u b} ∣$ from untagged $B^{0} \to π^{-} ℓ^{+} ν_{ℓ}$ decays using 2019-2021 Belle II data

Angular analysis of $B^{+} \to ρ^{+} ρ^{0}$ decays reconstructed in 2019, 2020, and 2021 Belle II data

Measurement of the branching fraction of the $B^{0} \to K_{S}^{0} π^{0} γ$ decay using 190 fb $^{- 1}$ of Belle II data

Measurements of the branching fractions for $B \to K^{*} γ$ decays at Belle II

Angular analysis of $B^{+} \to ρ^{+} ρ^{0}$ decays reconstructed in 2019-2020 Belle II data

Measurements of branching fractions and CP-violating charge asymmetries in multibody charmless $B$ decays reconstructed in 2019-2020 Belle II data

Measurement of the branching fraction for $B^{0} \to π^{0} π^{0}$ decays reconstructed in 2019-2020 Belle II data

Measurements of branching fractions and direct CP asymmetries in $B^{0} \to K^{+} π^{-}$ , $B^{+} \to K_{S}^{0} π^{+}$ and $B^{0} \to π^{+} π^{-}$ using 2019 and 2020 data

Measurement of the branching fractions of $B \to η^{'} K$ decays using 2019/2020 Belle II data

Measurements of branching fractions and direct $CP$ -violating asymmetries in $B^+ \to K^+ π^0~\mbox{and}~π^+ π^0$ decays using 2019 and 2020 Belle II data