5 papers
Benchmarking Quantum Architecture Search with Surrogate Assistance
Darya Martyniuk, Johannes Jung, Daniel Barta +1
The development of quantum algorithms and their practical applications currently relies heavily on the efficient design, compilation, and optimization of quantum circuits. In parti…
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
Daniel Barta, Darya Martyniuk, Johannes Jung +1
Quantum computing holds immense potential, yet its practical success depends on multiple factors, including advances in quantum circuit design. In this paper, we introduce a genera…
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas, Christian Schlauch, Adrian Paschke +2
Deep learning-based trajectory prediction models have demonstrated promising capabilities in capturing complex interactions. However, their out-of-distribution generalization remai…
Post-Training Language Models for Continual Relation Extraction
Sefika Efeoglu, Adrian Paschke, Sonja Schimmler
Real-world data, such as news articles, social media posts, and chatbot conversations, is inherently dynamic and non-stationary, presenting significant challenges for constructing…
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Kumar Manas, Adrian Paschke
This comprehensive survey examines the integration of knowledge-based approaches in autonomous driving systems, specifically focusing on trajectory prediction and planning. We exte…