Simon-Gabriel, Carl-Johann

14 publications

ICLR 2024 Robust NAS Under Adversarial Training: Benchmark, Theory, and Beyond Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher

JMLR 2024 Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey

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

JMLR 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey

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

NeurIPSW 2022 Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey

ICML 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause

ICML 2019 First-Order Adversarial Vulnerability of Neural Networks and Input Dimension Carl-Johann Simon-Gabriel, Yann Ollivier, Leon Bottou, Bernhard Schölkopf, David Lopez-Paz

JMLR 2018 Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions Carl-Johann Simon-Gabriel, Bernhard Schölkopf

NeurIPS 2017 AdaGAN: Boosting Generative Models Ilya O Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf

NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O Tolstikhin, Bernhard Schölkopf

ICML 2015 Removing Systematic Errors for Exoplanet Search via Latent Causes Bernhard Schölkopf, David Hogg, Dun Wang, Dan Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters