Signal Processing Tools for Electron Microscopy. - Jakob Spiegelberg (2018)

Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. - Laura Fieback; Bidya Dash; Jakob Spiegelberg; Hanno Gottschalk (AALTD@ECML/PKDD, 2023)

A Deep Reinforcement Learning Approach to Configuration Sampling Problem. - Amir Abolfazli; Jakob Spiegelberg; Gregory Palmer; Avishek Anand (ICDM, 2023)

Reliable Classifications with Guaranteed Confidence Using the Dempster-Shafer Theory of Evidence. - Marie C. Kempkes; Vedran Dunjko; Evert P. L. van Nieuwenburg; Jakob Spiegelberg (ECML/PKDD (2), 2024)

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. - Nicola Franco; Marie C. Kempkes; Jakob Spiegelberg; Jeanette Miriam Lorenz (QCE, 2024)

Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. - Nicola Franco; Jakob Spiegelberg; Jeanette Miriam Lorenz; Stephan Günnemann (UAI, 2024)

MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification. - Laura Fieback; Jakob Spiegelberg; Hanno Gottschalk (VISIGRAPP (2): VISAPP, 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, 2025)

Detecting underdetermination in parameterized quantum circuits. - Marie C. Kempkes; Jakob Spiegelberg; Evert P. L. van Nieuwenburg; Vedran Dunjko (CoRR, 2025)

Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -. - Laura Fieback; Nishilkumar Balar; Jakob Spiegelberg; Hanno Gottschalk (CoRR, 2025)