Image Captioning and Classification of Dangerous Situations. - Octavio Arriaga; Paul Plöger; Matias Valdenegro-Toro (CoRR, 2017)

Learning of Multi-Context Models for Autonomous Underwater Vehicles. - Bilal Wehbe; Octavio Arriaga; Mario Michael Krell; Frank Kirchner (CoRR, 2018)

Real-time Convolutional Neural Networks for emotion and gender classification. - Matias Valdenegro-Toro; Octavio Arriaga; Paul Plöger (ESANN, 2019)

Perception for Autonomous Systems (PAZ). - Octavio Arriaga; Matias Valdenegro-Toro; Mohandass Muthuraja; Sushma Devaramani; Frank Kirchner (CoRR, 2020)

Black-Box Optimization of Object Detector Scales. - Mohandass Muthuraja; Octavio Arriaga; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro (CoRR, 2020)

Unsupervised Difficulty Estimation with Action Scores. - Octavio Arriaga; Matias Valdenegro-Toro (CoRR, 2020)

Robot Dance Generation with Music Based Trajectory Optimization. - Melya Boukheddimi; Daniel Harnack; Shivesh Kumar; Rohit Kumar; Shubham Vyas; Octavio Arriaga; Frank Kirchner (IROS, 2022)

Difficulty Estimation with Action Scores for Computer Vision Tasks. - Octavio Arriaga; Sebastian Palacio; Matias Valdenegro-Toro (CVPR Workshops, 2023)

PhysWM: Physical World Models for Robot Learning. - Marc Otto; Octavio Arriaga; Chandandeep Singh; Jichen Guo; Frank Kirchner (NeSy, 2023)

DExT: Detector Explanation Toolkit. - Deepan Chakravarthi Padmanabhan; Paul G. Plöger; Octavio Arriaga; Matias Valdenegro-Toro (xAI (2), 2023)

Sanity Checks for Saliency Methods Explaining Object Detectors. - Deepan Chakravarthi Padmanabhan; Paul G. Plöger; Octavio Arriaga; Matias Valdenegro-Toro (xAI (1), 2023)

Bayesian Inverse Graphics for Few-Shot Concept Learning. - Octavio Arriaga; Jichen Guo; Rebecca Adam; Sebastian Houben; Frank Kirchner (NeSy (1), 2024)

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning. - Octavio Arriaga; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters 001; Frank Kirchner (CoRR, 2025)