On the Phan system of the Schur cover of SU(4, 32). - Max Horn (Des. Codes Cryptogr., 2008)

Computing Polycyclic Quotients of Finitely (L-)Presented Groups via Groebner Bases. - Bettina Eick; Max Horn (ICMS, 2010)

TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets. - Antonia Stank; Daria B. Kokh; Max Horn; Elena Sizikova; Rebecca Neil; Joanna Panecka; Stefan Richter 002; Rebecca C. Wade (Nucleic Acids Res., 2017)

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. - Bastian Rieck; Matteo Togninalli; Christian Bock; Michael Moor; Max Horn; Thomas Gumbsch; Karsten M. Borgwardt (ICLR (Poster), 2019)

Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. - Michael Moor; Max Horn; Bastian Rieck; Damian Roqueiro; Karsten M. Borgwardt (MLHC, 2019)

Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. - Michael Moor; Max Horn; Bastian Rieck; Damian Roqueiro; Karsten M. Borgwardt (CoRR, 2019)

Machine learning for early prediction of circulatory failure in the intensive care unit. - Stephanie L. Hyland; Martin Faltys; Matthias Hüser; Xinrui Lyu; Thomas Gumbsch; Cristóbal Esteban; Christian Bock; Max Horn; Michael Moor; Bastian Rieck; Marc Zimmermann; Dean A. Bodenham; et al. (CoRR, 2019)

Set Functions for Time Series. - Max Horn; Michael Moor; Christian Bock; Bastian Rieck; Karsten M. Borgwardt (ICML, 2020)

Topological Autoencoders. - Michael Moor; Max Horn; Bastian Rieck; Karsten M. Borgwardt (ICML, 2020)

Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra. - Caroline Weis; Max Horn; Bastian Rieck; Aline Cuénod; Adrian Egli; Karsten M. Borgwardt (Bioinform., 2020)

Path Imputation Strategies for Signature Models. - Michael Moor; Max Horn; Christian Bock; Karsten M. Borgwardt; Bastian Rieck (CoRR, 2020)

Translational Equivariance in Kernelizable Attention. - Max Horn; Kumar Shridhar; Elrich Groenewald; Philipp F. M. Baumann (CoRR, 2021)

Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. - Michael Moor; Nicolas Bennett; Drago Plecko; Max Horn; Bastian Rieck; Nicolai Meinshausen; Peter Bühlmann; Karsten M. Borgwardt (CoRR, 2021)

Pathologies in priors and inference for Bayesian transformers. - Tristan Cinquin; Alexander Immer; Max Horn; Vincent Fortuin (CoRR, 2021)

Topological Graph Neural Networks. - Max Horn; Edward De Brouwer; Michael Moor; Yves Moreau; Bastian Rieck; Karsten M. Borgwardt (ICLR, 2022)

Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. - Leslie O'Bray; Max Horn; Bastian Rieck; Karsten M. Borgwardt (ICLR, 2022)

Assaying Out-Of-Distribution Generalization in Transfer Learning. - Florian Wenzel; Andrea Dittadi; Peter V. Gehler; Carl-Johann Simon-Gabriel; Max Horn; Dominik Zietlow; David Kernert; Chris Russell 001; Thomas Brox; Bernt Schiele; Bernhard Schölkopf; Francesco Locatello (NeurIPS, 2022)

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. - Yuejiang Liu; Alexandre Alahi; Chris Russell 001; Max Horn; Dominik Zietlow; Bernhard Schölkopf; Francesco Locatello (CLeaR, 2023)

Unsupervised Open-Vocabulary Object Localization in Videos. - Ke Fan; Zechen Bai; Tianjun Xiao; Dominik Zietlow; Max Horn; Zixu Zhao; Carl-Johann Simon-Gabriel; Mike Zheng Shou; Francesco Locatello; Bernt Schiele; Thomas Brox; Zheng Zhang 001; et al. (ICCV, 2023)

Object-Centric Multiple Object Tracking. - Zixu Zhao; Jiaze Wang; Max Horn; Yizhuo Ding; Tong He 002; Zechen Bai; Dominik Zietlow; Carl-Johann Simon-Gabriel; Bing Shuai; Zhuowen Tu; Thomas Brox; Bernt Schiele; et al. (ICCV, 2023)

Bridging the Gap to Real-World Object-Centric Learning. - Maximilian Seitzer; Max Horn; Andrii Zadaianchuk; Dominik Zietlow; Tianjun Xiao; Carl-Johann Simon-Gabriel; Tong He 002; Zheng Zhang 001; Bernhard Schölkopf; Thomas Brox; Francesco Locatello (ICLR, 2023)

A data augmentation perspective on diffusion models and retrieval. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (CoRR, 2023)

Image retrieval outperforms diffusion models on data augmentation. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (Trans. Mach. Learn. Res., 2023)

Representation Learning for Dimensionality Reduction, Irregularly-Sampled Sequences and Graphs. - Max Horn (2023)

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. - Ke Fan; Zechen Bai; Tianjun Xiao; Tong He 002; Max Horn; Yanwei Fu 001; Francesco Locatello; Zheng Zhang 001 (CVPR, 2024)