Jakob Spiegelberg

According to our database, Jakob Spiegelberg authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -.

Laura Fieback, Nishilkumar Balar, Jakob Spiegelberg, Hanno Gottschalk

CoRR, April, 2025

Detecting underdetermination in parameterized quantum circuits.

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

CoRR, April, 2025

Double descent in quantum machine learning.

Marie C. Kempkes, Aroosa Ijaz, Elies Gil-Fuster, Carlos Bravo-Prieto, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko

CoRR, January, 2025

MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification.

Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

2024

Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.

Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the Uncertainty in Artificial Intelligence, 2024

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

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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