Carl-Johann Simon-Gabriel

26 papers A* 8Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Robust NAS under adversarial training: benchmark, theory, and beyond. ICLR Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	Robust NAS under adversarial training: benchmark, theory, and beyond. CoRR Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher
2024	J	`jnl`	Targeted Separation and Convergence with Kernel Discrepancies. J. Mach. Learn. Res. Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey
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	J	`jnl`	Metrizing Weak Convergence with Maximum Mean Discrepancies. J. Mach. Learn. Res. Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey
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	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	J	`jnl`	Targeted Separation and Convergence with Kernel Discrepancies. CoRR Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey
2021	A*	`conf`	PopSkipJump: Decision-Based Attack for Probabilistic Classifiers. ICML Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause
2021	J	`jnl`	PopSkipJump: Decision-Based Attack for Probabilistic Classifiers. CoRR Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause
2020	J	`jnl`	Metrizing Weak Convergence with Maximum Mean Discrepancies. CoRR Carl-Johann Simon-Gabriel, Alessandro Barp, Lester Mackey
2019	—	`—`	Distribution-Dissimilarities in Machine Learning. Carl-Johann Simon-Gabriel
2019	A*	`conf`	First-Order Adversarial Vulnerability of Neural Networks and Input Dimension. ICML Carl-Johann Simon-Gabriel, Yann Ollivier, Léon Bottou, Bernhard Schölkopf, David Lopez-Paz
2018	J	`jnl`	Adversarial Vulnerability of Neural Networks Increases With Input Dimension. CoRR Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Schölkopf, Léon Bottou, David Lopez-Paz
2018	J	`jnl`	Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions. J. Mach. Learn. Res. Carl-Johann Simon-Gabriel, Bernhard Schölkopf
2017	—	`conf`	AdaGAN: Boosting Generative Models. NIPS Ilya O. Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf
2017	J	`jnl`	AdaGAN: Boosting Generative Models. CoRR Ilya O. Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf
2016	—	`conf`	Consistent Kernel Mean Estimation for Functions of Random Variables. NIPS Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf
2016	J	`jnl`	Modeling confounding by half-sibling regression. Proc. Natl. Acad. Sci. USA Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters
2015	A*	`conf`	Removing systematic errors for exoplanet search via latent causes. ICML Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters
2015	J	`jnl`	Removing systematic errors for exoplanet search via latent causes. CoRR Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters