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Dennis Gross
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2020 – today
- 2025
- [c10]Dennis Gross, Helge Spieker:
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies. ICAART (2) 2025: 611-621 - [i11]Dennis Gross, Helge Spieker:
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies. CoRR abs/2501.03142 (2025) - [i10]Dennis Gross:
Turn-based Multi-Agent Reinforcement Learning Model Checking. CoRR abs/2501.03187 (2025) - 2024
- [c9]Dennis Gross, Helge Spieker:
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies. ESANN 2024 - [c8]Dennis Gross, Helge Spieker:
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies. ICAART (3) 2024: 438-445 - [c7]Dennis Gross, Helge Spieker, Arnaud Gotlieb, Ricardo Knoblauch:
Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods. ICAART (3) 2024: 898-905 - [c6]Dennis Gross, Helge Spieker:
Enhancing RL Safety with Counterfactual LLM Reasoning. ICTSS 2024: 23-29 - [i9]Dennis Gross, Helge Spieker:
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies. CoRR abs/2403.18725 (2024) - [i8]Dennis Gross, Helge Spieker, Arnaud Gotlieb, Ricardo Knoblauch:
Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods. CoRR abs/2403.18731 (2024) - [i7]Dennis Gross, Helge Spieker:
Enhancing RL Safety with Counterfactual LLM Reasoning. CoRR abs/2409.10188 (2024) - [i6]Dennis Gross, Helge Spieker, Arnaud Gotlieb, Ricardo Knoblauch, Mohamed Elmansori:
Efficient Milling Quality Prediction with Explainable Machine Learning. CoRR abs/2409.10203 (2024) - [i5]Dennis Gross, Helge Spieker:
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies. CoRR abs/2409.10218 (2024) - 2023
- [c5]Dennis Gross, Christoph Schmidl, Nils Jansen
, Guillermo A. Pérez
Model Checking for Adversarial Multi-Agent Reinforcement Learning with Reactive Defense Methods. ICAPS 2023: 162-170 - [c4]Dennis Gross, Thiago D. Simão, Nils Jansen
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. ICAART (3) 2023: 501-508 - [c3]Dennis Gross:
Turn-Based Multi-Agent Reinforcement Learning Model Checking. ICAART (3) 2023: 980-987 - 2022
- [c2]Dennis Gross, Nils Jansen
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking. SETTA 2022: 41-49 - [i4]Dennis Gross, Nils Jansen
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking. CoRR abs/2209.07133 (2022) - [i3]Dennis Gross, Thiago D. Simão, Nils Jansen
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. CoRR abs/2212.05337 (2022) - 2020
- [c1]Dennis Gross, Nils Jansen
Robustness Verification for Classifier Ensembles. ATVA 2020: 271-287 - [i2]Dennis Gross, Nils Jansen, Guillermo A. Pérez, Stephan Raaijmakers:
Robustness Verification for Classifier Ensembles. CoRR abs/2005.05587 (2020) - [i1]Ajaya Adhikari, Richard den Hollander, Ioannis Tolios, Michael van Bekkum, Anneloes Bal, Stijn Hendriks, Maarten Kruithof, Dennis Gross, Nils Jansen, Guillermo A. Pérez, Kit Buurman, Stephan Raaijmakers:
Adversarial Patch Camouflage against Aerial Detection. CoRR abs/2008.13671 (2020)
Coauthor Index
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