Jakob Spiegelberg

15 papers A* 1A 1Misc 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detecting underdetermination in parameterized quantum circuits. Mach. Learn. Sci. Technol. Marie C. Kempkes, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko
2025	J	`jnl`	Detecting underdetermination in parameterized quantum circuits. CoRR Marie C. Kempkes, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko
2025	J	`jnl`	Double descent in quantum machine learning. CoRR Marie C. Kempkes, Aroosa Ijaz, Elies Gil-Fuster, Carlos Bravo-Prieto, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko
2025	—	`conf`	ECD: Efficient Contrastive Decoding with Probabilistic Hallucination Detection. ECML/PKDD (7) Laura Fieback, Nishilkumar Balar, Jakob Spiegelberg, Hanno Gottschalk
2025	J	`jnl`	Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -. CoRR Laura Fieback, Nishilkumar Balar, Jakob Spiegelberg, Hanno Gottschalk
2025	—	`conf`	MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification. VISIGRAPP (2): VISAPP Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk
2024	A	`conf`	Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. UAI Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann
2024	J	`jnl`	MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification. CoRR Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk
2024	Misc	`conf`	Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. QCE Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
2024	J	`jnl`	Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. CoRR Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
2024	—	`conf`	Reliable Classifications with Guaranteed Confidence Using the Dempster-Shafer Theory of Evidence. ECML/PKDD (2) Marie C. Kempkes, Vedran Dunjko, Evert P. L. van Nieuwenburg, Jakob Spiegelberg
2023	A*	`conf`	A Deep Reinforcement Learning Approach to Configuration Sampling Problem. ICDM Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand
2023	—	`conf`	Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. AALTD@ECML/PKDD Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
2023	J	`jnl`	Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. CoRR Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
2018	—	`—`	Signal Processing Tools for Electron Microscopy. Jakob Spiegelberg