Carl-Johann Simon-Gabriel

According to our database, Carl-Johann Simon-Gabriel authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Robust NAS under adversarial training: benchmark, theory, and beyond.

Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Metrizing Weak Convergence with Maximum Mean Discrepancies.

Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey

J. Mach. Learn. Res., 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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Targeted Separation and Convergence with Kernel Discrepancies.

Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

PopSkipJump: Decision-Based Attack for Probabilistic Classifiers.

Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Metrizing Weak Convergence with Maximum Mean Discrepancies.

Carl-Johann Simon-Gabriel, Alessandro Barp, Lester Mackey

CoRR, 2020

2019

Distribution-Dissimilarities in Machine Learning.

Carl-Johann Simon-Gabriel

PhD thesis, 2019

First-Order Adversarial Vulnerability of Neural Networks and Input Dimension.

Carl-Johann Simon-Gabriel, Yann Ollivier, Léon Bottou, Bernhard Schölkopf, David Lopez-Paz

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions.

Carl-Johann Simon-Gabriel, Bernhard Schölkopf

J. Mach. Learn. Res., 2018

Adversarial Vulnerability of Neural Networks Increases With Input Dimension.

Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Schölkopf, Léon Bottou, David Lopez-Paz

CoRR, 2018

2017

AdaGAN: Boosting Generative Models.

Ilya O. Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Modeling confounding by half-sibling regression.

Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters

Proc. Natl. Acad. Sci. USA, 2016

Consistent Kernel Mean Estimation for Functions of Random Variables.

Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Removing systematic errors for exoplanet search via latent causes.

Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters

Proceedings of the 32nd International Conference on Machine Learning, 2015