Jakob Spiegelberg

According to our database, Jakob Spiegelberg authored at least 6 papers between 2018 and 2024.

Collaborative distances:

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

2024

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.

Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz

CoRR, 2024

MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification.

Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk

CoRR, 2024

Reliable Classifications with Guaranteed Confidence Using the Dempster-Shafer Theory of Evidence.

Marie C. Kempkes, Vedran Dunjko, Evert P. L. van Nieuwenburg, Jakob Spiegelberg

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

A Deep Reinforcement Learning Approach to Configuration Sampling Problem.

Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand

Proceedings of the IEEE International Conference on Data Mining, 2023

Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks.

Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2018

Signal Processing Tools for Electron Microscopy.

Jakob Spiegelberg

PhD thesis, 2018