Kathrin Skubch

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Scalable Meta-Learning with Gaussian Processes.

Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp

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.

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

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.

Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

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.

Amrutha Saseendran, Kathrin Skubch, Margret Keuper

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.

Amin Coja-Oghlan, Oliver Cooley, Mihyun Kang, Kathrin Skubch

J. Comb. Theory B, 2019

2018

Message passing algorithms for investigating invariants of sparse random graphs.

Kathrin Skubch

PhD thesis, 2018

2017

The Minimum Bisection in the Planted Bisection Model.

Amin Coja-Oghlan, Oliver Cooley, Mihyun Kang, Kathrin Skubch

Theory Comput., 2017

Limits of discrete distributions and Gibbs measures on random graphs.

Amin Coja-Oghlan, Will Perkins, Kathrin Skubch

Eur. J. Comb., 2017

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

Amin Coja-Oghlan, Oliver Cooley, Mihyun Kang, Kathrin Skubch

CoRR, 2017

2015

How does the core sit inside the mantle?

Amin Coja-Oghlan, Oliver Cooley, Mihyun Kang, Kathrin Skubch

Electron. Notes Discret. Math., 2015