Jakob Spiegelberg

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