Skubch, Kathrin

5 publications

AISTATS 2024 Scalable Meta-Learning with Gaussian Processes Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp

AISTATS 2022 Transfer Learning with Gaussian Processes for Bayesian Optimization Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska

NeurIPS 2022 Trading Off Image Quality for Robustness Is Not Necessary with Regularized Deterministic Autoencoders Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

ICCV 2021 Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation Amrutha Saseendran, Kathrin Skubch, Margret Keuper

NeurIPS 2021 Shape Your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper