Joachim Sicking

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Areas Of Artificial Intelligence

Model Averaging

Top Venues

Publications

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer
Wasserstein dropout. Mach. Learn. 113 (5) (2024)
Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR (2023)
Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. ICPRAM (2022)
Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Tailored Uncertainty Estimation for Deep Learning Systems. CoRR (2022)
Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila
A Survey on Uncertainty Toolkits for Deep Learning. CoRR (2022)
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
A Novel Regression Loss for Non-Parametric Uncertainty Optimization. CoRR (2021)
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR (2021)
Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. CVPR Workshops (2021)
Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. CoRR (2021)
Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz
Approaching Neural Network Uncertainty Realism. CoRR (2021)
Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer
Characteristics of Monte Carlo Dropout in Wide Neural Networks. CoRR (2020)
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. CoRR (2020)
Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. CoRR (2020)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR (2018)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) (2018)