Self-learning Machines based on Hamiltonian Echo Backpropagation. - Victor Lopez-Pastor; Florian Marquardt 001 (CoRR, 2021)

TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization. - Alexander Luce; Ali Mahdavi; Florian Marquardt 001; Heribert Wankerl (CoRR, 2021)

Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements. - Riccardo Porotti; Antoine Essig; Benjamin Huard; Florian Marquardt 001 (Quantum, 2022)

Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering. - Clara C. Wanjura; Florian Marquardt 001 (CoRR, 2023)

Investigation of inverse design of multilayer thin-films with conditional invertible neural networks. - Alexander Luce; Ali Mahdavi; Heribert Wankerl; Florian Marquardt 001 (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 001 (Quantum, 2023)

Deep Bayesian experimental design for quantum many-body systems. - Leopoldo Sarra; Florian Marquardt 001 (Mach. Learn. Sci. Technol., 2023)

Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity. - Clara C. Wanjura; Florian Marquardt 001 (CoRR, 2024)

Optimizing ZX-diagrams with deep reinforcement learning. - Maximilian Nägele; Florian Marquardt 001 (Mach. Learn. Sci. Technol., 2024)

Training coupled phase oscillators as a neuromorphic platform using equilibrium propagation. - Qingshan Wang; Clara C. Wanjura; Florian Marquardt 001 (Neuromorph. Comput. Eng., 2024)

dCG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design. - Alexander Luce; Daniel Grünbaum; Florian Marquardt 001 (Mach. Learn. Sci. Technol., 2025)

Training nonlinear optical neural networks with Scattering Backpropagation. - Nicola Dal Cin; Florian Marquardt 001; Clara C. Wanjura (CoRR, 2025)

Agentic Exploration of Physics Models. - Maximilian Nägele; Florian Marquardt 001 (CoRR, 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li 003; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)