Maram Akila

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

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Publications

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer
Wasserstein dropout. Mach. Learn. 113 (5) (2024)
Sujan Sai Gannamaneni, Michael Mock, Maram Akila
Assessing systematic weaknesses of DNNs using counterfactuals. AI Ethics 4 (1) (2024)
Rebekka Görge, Michael Mock, Maram Akila
Inspecting and Measuring Fairness of unlabeled Image Datasets. ICDEW (2024)
Sergio Genovesi, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann
Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. AI Ethics 4 (2) (2024)
Lennard Helmer, Claudio Martens, Dennis Wegener, Maram Akila, Daniel Becker, Sermad Abbas
Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes. RAIE@ICSE (2024)
Sujan Sai Gannamaneni, Arwin Sadaghiani, Rohil Prakash Rao, Michael Mock, Maram Akila
Investigating CLIP Performance for Meta-data Generation in AD Datasets. CVPR Workshops (2023)
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)
Sujan Sai Gannamaneni, Michael Mock, Maram Akila
Assessing Systematic Weaknesses of DNNs using Counterfactuals. CoRR (2023)
Elena Haedecke, Michael Mock, Maram Akila
ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models. Comput. Graph. 114 (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)
Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel
The why and how of trustworthy AI. Autom. 70 (9) (2022)
Elena Haedecke, Michael Mock, Maram Akila
ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions. EuroVA@EuroVis (2022)
Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. CoRR (2021)
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CVPR Workshops (2021)
Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila
Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA. ICCVW (2021)
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, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. IV Workshops (2021)
Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. CVPR Workshops (2021)
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CoRR (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, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer
Characteristics of Monte Carlo Dropout in Wide Neural Networks. CoRR (2020)
Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle
Revisiting Neuron Coverage and Its Application to Test Generation. SAFECOMP Workshops (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)