ML Anthology

Reinert, Gesine

11 publications

ICML 2025 Generalization and Robustness of the Tilted Empirical Risk Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
ICML 2024 Generalization Error of Graph Neural Networks in the Mean-Field Regime Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
ICLR 2024 Robust Angular Synchronization via Directed Graph Neural Networks Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
LoG 2023 PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
LoG 2022 DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
LoG 2022 DIGRAC: Digraph Clustering Based on Flow Imbalance Yixuan He, Gesine Reinert, Mihai Cucuringu
MLJ 2022 Lead-Lag Detection and Network Clustering for Multivariate Time Series with an Application to the US Equity Market Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
LoG 2022 MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
NeurIPSW 2022 On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics Wenkai Xu, Gesine Reinert, Moritz Weckbecker
NeurIPSW 2022 Random Walk Based Conditional Generative Model for Temporal Networks with Attributes Stratis Limnios, Andrew Elliott, Mihai Cucuringu, Gesine Reinert
AISTATS 2021 A Stein Goodness-of-Test for Exponential Random Graph Models Wenkai Xu, Gesine Reinert