Max Horn

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Topics

Dynamic Time Warping

Multiple Object Tracking

Predicting Protein

Top Venues

Publications

Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CoRR (2024)
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. ICLR (2023)
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
A data augmentation perspective on diffusion models and retrieval. CoRR (2023)
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, Yanwei Fu, Tong He
Unsupervised Open-Vocabulary Object Localization in Videos. ICCV (2023)
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
Object-Centric Multiple Object Tracking. CoRR (2023)
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR (2023)
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
Image retrieval outperforms diffusion models on data augmentation. Trans. Mach. Learn. Res. 2023 (2023)
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CoRR (2023)
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
Object-Centric Multiple Object Tracking. ICCV (2023)
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, Yanwei Fu, Tong He
Unsupervised Open-Vocabulary Object Localization in Videos. CoRR (2023)
Florian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS (2022)
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Topological Graph Neural Networks. ICLR (2022)
Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR (2022)
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. CoRR (2022)
Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. ICLR (2022)
Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin
Pathologies in priors and inference for Bayesian transformers. CoRR (2021)
Michael Moor, Nicolas Bennett, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten M. Borgwardt
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. CoRR (2021)
Max Horn, Kumar Shridhar, Elrich Groenewald, Philipp F. M. Baumann
Translational Equivariance in Kernelizable Attention. CoRR (2021)
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Topological Graph Neural Networks. CoRR (2021)
Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. CoRR (2021)
Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Topological Autoencoders. ICML (2020)
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
Set Functions for Time Series. ICML (2020)
Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck
Path Imputation Strategies for Signature Models. CoRR (2020)
Caroline Weis, Max Horn, Bastian Rieck, Aline Cuénod, Adrian Egli, Karsten M. Borgwardt
Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra. Bioinform. 36 (Supplement-1) (2020)
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, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR (2019)
Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Topological Autoencoders. CoRR (2019)
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
Set Functions for Time Series. CoRR (2019)
Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. MLHC (2019)
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) (2019)
Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. CoRR (2019)
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR (2018)
Antonia Stank, Daria B. Kokh, Max Horn, Elena Sizikova, Rebecca Neil, Joanna Panecka, Stefan Richter, Rebecca C. Wade
TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets. Nucleic Acids Res. 45 (Webserver-Issue) (2017)
Bettina Eick, Max Horn
Computing Polycyclic Quotients of Finitely (L-)Presented Groups via Groebner Bases. ICMS (2010)
Max Horn
). Des. Codes Cryptogr. 47 (1-3) (2008)