Carl-Johann Simon-Gabriel
13 papers · 2015–2024 · 5 venues · across top CS/AI venues
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maximum mean discrepancy
(3)
self-supervised learning
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weak convergence
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probability measure
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unsupervised learning
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neural network
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adversarial attack
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kernel mean embedding
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slot attention
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reproducing kernel hilbert space
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variational inference
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adversarial training
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object localization
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query efficiency
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neural architecture search
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domain generalization
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representation learning
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nonparametric estimation
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object detection
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adversarial robustness
(1)
Papers
Robust NAS under adversarial training: benchmark, theory, and beyond
ICLR 2024
Targeted Separation and Convergence with Kernel Discrepancies
JMLR 2024
Bridging the Gap to Real-World Object-Centric Learning
ICLR 2023
Metrizing Weak Convergence with Maximum Mean Discrepancies
JMLR 2023
Object-Centric Multiple Object Tracking
ICCV 2023
Unsupervised Open-Vocabulary Object Localization in Videos
ICCV 2023
Assaying Out-Of-Distribution Generalization in Transfer Learning
NeurIPS 2022
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
ICML 2021
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
ICML 2019
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions
JMLR 2018
AdaGAN: Boosting Generative Models
NeurIPS 2017
Consistent Kernel Mean Estimation for Functions of Random Variables
NeurIPS 2016
Removing systematic errors for exoplanet search via latent causes
ICML 2015