Horn, Max

17 publications

ICLRW 2025 Object-Centric Representations Generalize Better Compositionally with Less Compute Ferdinand Kapl, Amir Mohammad Karimi Mamaghan, Max Horn, Carsten Marr, Stefan Bauer, Andrea Dittadi

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

ICLR 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, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello

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

TMLR 2023 Image Retrieval Outperforms Diffusion Models on Data Augmentation Max F Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell

ICCV 2023 Object-Centric Multiple Object Tracking 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

ICCV 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, Yanwei Fu, Tong He

NeurIPS 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, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello

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

ICLR 2022 Topological Graph Neural Networks Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten Borgwardt

NeurIPSW 2021 Pathologies in Priors and Inference for Bayesian Transformers Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin

NeurIPSW 2020 Challenging Euclidean Topological Autoencoders Michael Moor, Max Horn, Karsten Borgwardt, Bastian Rieck

ICMLW 2020 Path Imputation Strategies for Signature Models Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, Bastian Rieck

ICML 2020 Set Functions for Time Series Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt

ICML 2020 Topological Autoencoders Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt

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

ICLR 2019 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 Borgwardt