Danny Panknin

According to our database, Danny Panknin authored at least 9 papers between 2015 and 2024.

Collaborative distances:

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

2024

Explainable AI needs formal notions of explanation correctness.

Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki

CoRR, 2024

EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods.

Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe

CoRR, 2024

2023

Towards model-agnostic active learning in regression via identification of problem-intrinsic properties.

Danny Panknin

PhD thesis, 2023

Local Function Complexity for Active Learning via Mixture of Gaussian Processes.

Danny Panknin, Stefan Chmiela, Klaus-Robert Müller, Shinichi Nakajima

Trans. Mach. Learn. Res., 2023

2021

Optimal Sampling Density for Nonparametric Regression.

Danny Panknin, Shinichi Nakajima, Klaus-Robert Müller

CoRR, 2021

2019

Local Bandwidth Estimation via Mixture of Gaussian Processes.

Danny Panknin, Shinichi Nakajima, Thanh Binh Bui, Klaus-Robert Müller

CoRR, 2019

2016

Validity of Time Reversal for Testing Granger Causality.

Irene Winkler, Danny Panknin, Daniel Bartz, Klaus-Robert Müller, Stefan Haufe

IEEE Trans. Signal Process., 2016

Sharing Hash Codes for Multiple Purposes.

Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima

CoRR, 2016

2015

Fast cross-validation via sequential testing.

Tammo Krueger, Danny Panknin, Mikio L. Braun

J. Mach. Learn. Res., 2015