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Carl-Johann Simon-Gabriel
Carl-Johann Simon-Gabriel
Amazon Web Services - Tübingen Lablet
Verified email at tue.mpg.de
Title
Cited by
Cited by
Year
Adagan: Boosting generative models
IO Tolstikhin, S Gelly, O Bousquet, CJ Simon-Gabriel, B Schölkopf
Advances in neural information processing systems 30, 2017
2722017
From optimal transport to generative modeling: the VEGAN cookbook
O Bousquet, S Gelly, I Tolstikhin, CJ Simon-Gabriel, B Schoelkopf
arXiv preprint arXiv:1705.07642, 2017
1582017
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
1192015
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions
CJ Simon-Gabriel, B Schölkopf
Journal of Machine Learning Research 19 (44), 1-29, 2018
1092018
First-order adversarial vulnerability of neural networks and input dimension
CJ Simon-Gabriel, Y Ollivier, L Bottou, B Schölkopf, D Lopez-Paz
International conference on machine learning, 5809-5817, 2019
1052019
Modeling confounding by half-sibling regression
B Schölkopf, DW Hogg, D Wang, D Foreman-Mackey, D Janzing, ...
Proceedings of the National Academy of Sciences 113 (27), 7391-7398, 2016
702016
Bridging the gap to real-world object-centric learning
M Seitzer, M Horn, A Zadaianchuk, D Zietlow, T Xiao, CJ Simon-Gabriel, ...
The Eleventh International Conference on Learning Representations, 2022
662022
Assaying out-of-distribution generalization in transfer learning
F Wenzel, A Dittadi, P Gehler, CJ Simon-Gabriel, M Horn, D Zietlow, ...
Advances in Neural Information Processing Systems 35, 7181-7198, 2022
522022
Adversarial vulnerability of neural networks increases with input dimension
CJ Simon-Gabriel, Y Ollivier, L Bottou, B Schölkopf, D Lopez-Paz
482018
Metrizing weak convergence with maximum mean discrepancies
CJ Simon-Gabriel, A Barp, B Schölkopf, L Mackey
Journal of Machine Learning Research 24 (184), 1-20, 2023
422023
Removing systematic errors for exoplanet search via latent causes
B Schölkopf, D Hogg, D Wang, D Foreman-Mackey, D Janzing, ...
International Conference on Machine Learning, 2218-2226, 2015
112015
Consistent kernel mean estimation for functions of random variables
CJ Simon-Gabriel, A Scibior, I Tolstikhin, B Schölkopf
Advances in Neural Information Processing Systems, 1732-1740, 2016
92016
Targeted separation and convergence with kernel discrepancies
A Barp, CJ Simon-Gabriel, M Girolami, L Mackey
NeurIPS 2022 Workshop on Score-Based Methods, 2022
82022
Bootstrat: population informed bootstrapping for rare variant tests
H Huang, GM Peloso, D Howrigan, B Rakitsch, CJ Simon-Gabriel, ...
bioRxiv, 068999, 2016
52016
Popskipjump: Decision-based attack for probabilistic classifiers
CJ Simon-Gabriel, NA Sheikh, A Krause
International Conference on Machine Learning, 9712-9721, 2021
32021
Object-centric multiple object tracking
Z Zhao, J Wang, M Horn, Y Ding, T He, Z Bai, D Zietlow, CJ Simon-Gabriel, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Distribution-dissimilarities in machine learning
CJ Simon-Gabriel
Universität Tübingen, 2019
22019
Unsupervised Open-Vocabulary Object Localization in Videos
K Fan, Z Bai, T Xiao, D Zietlow, M Horn, Z Zhao, CJ Simon-Gabriel, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Robust NAS under adversarial training: benchmark, theory, and beyond
Y Wu, F Liu, CJ Simon-Gabriel, GG Chrysos, V Cevher
arXiv preprint arXiv:2403.13134, 2024
2024
Robust NAS benchmark under adversarial training: assessment, theory, and beyond
Y Wu, F Liu, CJ Simon-Gabriel, G Chrysos, V Cevher
The Twelfth International Conference on Learning Representations, 2023
2023
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Articles 1–20