Advances in Spatiotemporal Interoperability based on HLA and OGC Standards. - Ulrich Raape; Patrick Kautz; Florian Marquardt; Frank Mewes; Thomas Schulze 001 (SimVis, 2006)

Exploiting web service techniques for composing simulation models. - Mathias Röhl; Florian Marquardt; Adelinde M. Uhrmacher (WSC, 2007)

Evaluating AI planning for service composition in smart environments. - Florian Marquardt; Adelinde M. Uhrmacher (MUM, 2008)

Smart environments meet the semantic web. - Christiane Reisse; Christoph Burghardt; Florian Marquardt; Thomas Kirste; Adelinde M. Uhrmacher (MUM, 2008)

Creating AI Planning Domains for Smart Environments Using PDDL. - Florian Marquardt; Adelinde M. Uhrmacher (IMC, 2009)

Modelling Device Actions in Smart Environments. - Christiane Plociennik; Christoph Burghardt; Florian Marquardt; Thomas Kirste; Adelinde M. Uhrmacher (IMC, 2009)

An AI-Planning based Service Composition Architecture for Ambient Intelligence. - Florian Marquardt; Adelinde M. Uhrmacher (Intelligent Environments (Workshops), 2009)

Examples of Quantum Dynamics in Optomechanical Systems. - Max Ludwig; Georg Heinrich; Florian Marquardt (QuantumComm, 2009)

Dienstekomposition in intelligenten Umgebungen basierend auf KI-Planung. - Florian Marquardt (2010)

Renormalized Mutual Information for Extraction of Continuous Features. - Leopoldo Sarra; Andrea Aiello; Florian Marquardt (CoRR, 2020)

Self-learning Machines based on Hamiltonian Echo Backpropagation. - Victor Lopez-Pastor; Florian Marquardt (CoRR, 2021)

TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization. - Alexander Luce; Ali Mahdavi; Florian Marquardt; Heribert Wankerl (CoRR, 2021)

Artificial Intelligence and Machine Learning for Quantum Technologies. - Mario Krenn; Jonas Landgraf; Thomas Foesel; Florian Marquardt (CoRR, 2022)

Deep Learning of Quantum Many-Body Dynamics via Random Driving. - Naeimeh Mohseni; Thomas Fösel; Lingzhen Guo; Carlos Navarrete-Benlloch; Florian Marquardt (Quantum, 2022)

Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements. - Riccardo Porotti; Antoine Essig; Benjamin Huard; Florian Marquardt (Quantum, 2022)

Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering. - Clara C. Wanjura; Florian Marquardt (CoRR, 2023)

Investigation of inverse design of multilayer thin-films with conditional invertible neural networks. - Alexander Luce; Ali Mahdavi; Heribert Wankerl; Florian Marquardt (Mach. Learn. Sci. Technol., 2023)

Deep recurrent networks predicting the gap evolution in adiabatic quantum computing. - Naeimeh Mohseni; Carlos Navarrete-Benlloch; Tim Byrnes; Florian Marquardt (Quantum, 2023)

Deep Bayesian experimental design for quantum many-body systems. - Leopoldo Sarra; Florian Marquardt (Mach. Learn. Sci. Technol., 2023)

Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning. - Maximilian Nägele; Jan Olle; Thomas Fösel; Remmy Zen; Florian Marquardt (CoRR, 2024)

Training of Physical Neural Networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (CoRR, 2024)

Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity. - Clara C. Wanjura; Florian Marquardt (CoRR, 2024)

Quantum feedback control with a transformer neural network architecture. - Pranav Vaidhyanathan; Florian Marquardt; Mark T. Mitchison; Natalia Ares (CoRR, 2024)

Optimizing ZX-diagrams with deep reinforcement learning. - Maximilian Nägele; Florian Marquardt (Mach. Learn. Sci. Technol., 2024)

Training coupled phase oscillators as a neuromorphic platform using equilibrium propagation. - Qingshan Wang; Clara C. Wanjura; Florian Marquardt (Neuromorph. Comput. Eng., 2024)

Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology. - Federico Belliardo; Fabio Zoratti; Florian Marquardt; Vittorio Giovannetti (Quantum, 2024)

Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs. - Maximilian Orlowski; Emilia Knauff; Florian Marquardt (ICAART (3), 2025)

dCG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design. - Alexander Luce; Daniel Grünbaum; Florian Marquardt (Mach. Learn. Sci. Technol., 2025)

Meta-learning characteristics and dynamics of quantum systems. - Lucas Schorling; Pranav Vaidhyanathan; Jonas Schuff; Miguel J. Carballido; Dominik M. Zumbühl; Gerard Milburn; Florian Marquardt; Jakob N. Foerster; Michael A. Osborne; Natalia Ares (CoRR, 2025)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)