Max Horn - RankMe

36 papers A* 9Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CVPR Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
2024	J	`jnl`	Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CoRR Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
2023	J	`jnl`	A data augmentation perspective on diffusion models and retrieval. CoRR Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
2023	A*	`conf`	Bridging the Gap to Real-World Object-Centric Learning. ICLR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2023	—	`conf`	Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023	J	`jnl`	Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CoRR Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023	J	`jnl`	Image retrieval outperforms diffusion models on data augmentation. Trans. Mach. Learn. Res. Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
2023	A*	`conf`	Object-Centric Multiple Object Tracking. ICCV 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
2023	J	`jnl`	Object-Centric Multiple Object Tracking. CoRR 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
2023	—	`—`	Representation Learning for Dimensionality Reduction, Irregularly-Sampled Sequences and Graphs. Max Horn
2023	A*	`conf`	Unsupervised Open-Vocabulary Object Localization in Videos. ICCV 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
2023	J	`jnl`	Unsupervised Open-Vocabulary Object Localization in Videos. CoRR 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
2022	A*	`conf`	Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS 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
2022	J	`jnl`	Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR 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
2022	J	`jnl`	Bridging the Gap to Real-World Object-Centric Learning. CoRR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2022	A*	`conf`	Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. ICLR Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2022	A*	`conf`	Topological Graph Neural Networks. ICLR Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2021	J	`jnl`	Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. CoRR Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2021	J	`jnl`	Pathologies in priors and inference for Bayesian transformers. CoRR Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin
2021	J	`jnl`	Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. CoRR Michael Moor, Nicolas Bennett, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten M. Borgwardt
2021	J	`jnl`	Topological Graph Neural Networks. CoRR Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2021	J	`jnl`	Translational Equivariance in Kernelizable Attention. CoRR Max Horn, Kumar Shridhar, Elrich Groenewald, Philipp F. M. Baumann
2020	J	`jnl`	Path Imputation Strategies for Signature Models. CoRR Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck
2020	A*	`conf`	Set Functions for Time Series. ICML Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
2020	A*	`conf`	Topological Autoencoders. ICML Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2020	J	`jnl`	Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra. Bioinform. Caroline Weis, Max Horn, Bastian Rieck, Aline Cuénod, Adrian Egli, Karsten M. Borgwardt
2019	—	`conf`	Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. MLHC Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
2019	J	`jnl`	Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR 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
2019	—	`conf`	Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
2019	J	`jnl`	Set Functions for Time Series. CoRR Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
2019	J	`jnl`	Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. CoRR Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
2019	J	`jnl`	Topological Autoencoders. CoRR Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2018	J	`jnl`	Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
2017	J	`jnl`	TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets. Nucleic Acids Res. Antonia Stank, Daria B. Kokh, Max Horn, Elena Sizikova, Rebecca Neil, Joanna Panecka, Stefan Richter, Rebecca C. Wade
2010	—	`conf`	Computing Polycyclic Quotients of Finitely (L-)Presented Groups via Groebner Bases. ICMS Bettina Eick, Max Horn
2008	J	`jnl`	On the Phan system of the Schur cover of SU(4, 3 Des. Codes Cryptogr. Max Horn