Carl-Johann Simon-Gabriel

26 papers A* 8Journal 15Unranked 2
YearRankTypeTitle / 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