Maram Akila

According to our database, Maram Akila authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wasserstein dropout.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer

Mach. Learn., May, 2024

Assessing systematic weaknesses of DNNs using counterfactuals.

Sujan Sai Gannamaneni, Michael Mock, Maram Akila

AI Ethics, February, 2024

2023

ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models.

Elena Haedecke, Michael Mock, Maram Akila

Comput. Graph., August, 2023

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.

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

CoRR, 2023

Investigating CLIP Performance for Meta-data Generation in AD Datasets.

Sujan Sai Gannamaneni, Arwin Sadaghiani, Rohil Prakash Rao, Michael Mock, Maram Akila

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Survey on Uncertainty Toolkits for Deep Learning.

Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila

CoRR, 2022

Tailored Uncertainty Estimation for Deep Learning Systems.

Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

CoRR, 2022

The why and how of trustworthy AI.

Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel

Autom., 2022

DenseHMM: Learning Hidden Markov Models by Learning Dense Representations.

Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

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

CoRR, 2021

A Novel Regression Loss for Non-Parametric Uncertainty Optimization.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

CoRR, 2021

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.

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

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA.

Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities.

Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.

Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

CoRR, 2020

Characteristics of Monte Carlo Dropout in Wide Neural Networks.

Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer

CoRR, 2020

Revisiting Neuron Coverage and Its Application to Test Generation.

Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020