Frederik Harder

According to our database, Frederik Harder authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Pre-trained Perceptual Features Improve Differentially Private Image Generation.

Frederik Harder, Milad Jalali, Danica J. Sutherland, Mijung Park

Trans. Mach. Learn. Res., 2023

2022

Differentially Private Data Generation Needs Better Features.

Frederik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park

CoRR, 2022

Hermite Polynomial Features for Private Data Generation.

Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park

Proceedings of the International Conference on Machine Learning, 2022

2021

Polynomial magic! Hermite polynomials for private data generation.

Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder

CoRR, 2021

DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation.

Frederik Harder, Kamil Adamczewski, Mijung Park

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning.

Kamil Adamczewski, Frederik Harder, Mijung Park

CoRR, 2020

Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation.

Frederik Harder, Kamil Adamczewski, Mijung Park

CoRR, 2020

Interpretable and Differentially Private Predictions.

Frederik Harder, Matthias Bauer, Mijung Park

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning.

Frederik Harder, Jonas Köhler, Max Welling, Mijung Park

CoRR, 2019

2018

Learning Łukasiewicz logic.

Frederik Harder, Tarek R. Besold

Cogn. Syst. Res., 2018

2016

An Approach to Supervised Learning of Three-Valued Łukasiewicz Logic in Hölldobler's Core Method.

Frederik Harder, Tarek Richard Besold

Proceedings of the 4th International Workshop on Artificial Intelligence and Cognition co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016), 2016