activity
20232026
most citedDetecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning

38 citations · 56 across the 27 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies

Dennis Gross, Quentin Mazouni, Helge Spieker +1

Reinforcement learning (RL) policies can be unsafe and vulnerable to attacks. Ensuring their reliability is often a pain point as existing automated testing methods target only sel…

cs.LG2026

Semi-supervised CAPP Transformer Learning via Pseudo-labeling

Dennis Gross, Helge Spieker, Arnaud Gotlieb +3

High-level Computer-Aided Process Planning (CAPP) generates manufacturing process plans from part specifications. It suffers from limited dataset availability in industry, reducing…

cs.LG2025

Rashomon in the Streets: Explanation Ambiguity in Scene Understanding

Helge Spieker, Jørn Eirik Betten, Arnaud Gotlieb +2

Explainable AI (XAI) is essential for validating and trusting models in safety-critical applications like autonomous driving. However, the reliability of XAI is challenged by the R…

cs.LG2024

Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies

Dennis Gross, Helge Spieker

Pruning neural networks (NNs) can streamline them but risks removing vital parameters from safe reinforcement learning (RL) policies. We introduce an interpretable RL method called…

cs.LG2024★ 1 cited

Efficient Milling Quality Prediction with Explainable Machine Learning

Dennis Gross, Helge Spieker, Arnaud Gotlieb +2

This paper presents an explainable machine learning (ML) approach for predicting surface roughness in milling. Utilizing a dataset from milling aluminum alloy 2017A, the study empl…

cs.LG2024

Enhancing RL Safety with Counterfactual LLM Reasoning

Dennis Gross, Helge Spieker

Reinforcement learning (RL) policies may exhibit unsafe behavior and are hard to explain. We use counterfactual large language model reasoning to enhance RL policy safety post-trai…

cs.LG2023★ 38 cited

Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning

Pierre Bernabé, Arnaud Gotlieb, Bruno Legeard +3

In maritime traffic surveillance, detecting illegal activities, such as illegal fishing or transshipment of illicit products is a crucial task of the coastal administration. In the…