Kathrin Skubch

According to our database1, Kathrin Skubch authored at least 11 papers between 2015 and 2024.

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Bibliography

2024
Scalable Meta-Learning with Gaussian Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transfer Learning with Gaussian Processes for Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Core forging and local limit theorems for the <i>k</i>-core of random graphs.
J. Comb. Theory B, 2019

2018
Message passing algorithms for investigating invariants of sparse random graphs.
PhD thesis, 2018

2017
The Minimum Bisection in the Planted Bisection Model.
Theory Comput., 2017

Limits of discrete distributions and Gibbs measures on random graphs.
Eur. J. Comb., 2017

Core forging and local limit theorems for the k-core of random graphs.
CoRR, 2017

2015
How does the core sit inside the mantle?
Electron. Notes Discret. Math., 2015


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