Florian Marquardt

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dependence of Equilibrium Propagation Training Success on Network Architecture.
CoRR
Qingshan Wang, Clara C. Wanjura, Florian Marquardt
2025 J jnl
Agentic Exploration of Physics Models.
CoRR
Maximilian Nägele, Florian Marquardt
2025 J jnl
Training nonlinear optical neural networks with Scattering Backpropagation.
CoRR
Nicola Dal Cin, Florian Marquardt, Clara C. Wanjura
2025 J jnl
Training of physical neural networks.
Nat.
Ali Momeni, 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, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
2024 J jnl
Discovering quantum circuit components with program synthesis.
Mach. Learn. Sci. Technol.
Leopoldo Sarra, Kevin Ellis, Florian Marquardt
2024 J jnl
Merging automatic differentiation and the adjoint method for photonic inverse design.
Mach. Learn. Sci. Technol.
Alexander Luce, Rasoul Alaee, Fabian Knorr, Florian Marquardt
2024 J jnl
Optimizing ZX-diagrams with deep reinforcement learning.
Mach. Learn. Sci. Technol.
Maximilian Nägele, Florian Marquardt
2024 J jnl
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity.
CoRR
Clara C. Wanjura, Florian Marquardt
2024 J jnl
Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation.
CoRR
Qingshan Wang, Clara C. Wanjura, Florian Marquardt
2024 J jnl
Training coupled phase oscillators as a neuromorphic platform using equilibrium propagation.
Neuromorph. Comput. Eng.
Qingshan Wang, Clara C. Wanjura, Florian Marquardt
2024 J jnl
Training of Physical Neural Networks.
CoRR
Ali Momeni, 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, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
2023 J jnl
Deep Bayesian experimental design for quantum many-body systems.
Mach. Learn. Sci. Technol.
Leopoldo Sarra, Florian Marquardt
2023 J jnl
Deep recurrent networks predicting the gap evolution in adiabatic quantum computing.
Quantum
Naeimeh Mohseni, Carlos Navarrete-Benlloch, Tim Byrnes, Florian Marquardt
2023 J jnl
Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering.
CoRR
Clara C. Wanjura, Florian Marquardt
2023 J jnl
Investigation of inverse design of multilayer thin-films with conditional invertible neural networks.
Mach. Learn. Sci. Technol.
Alexander Luce, Ali Mahdavi, Heribert Wankerl, Florian Marquardt
2022 J jnl
Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements.
Quantum
Riccardo Porotti, Antoine Essig, Benjamin Huard, Florian Marquardt
2022 J jnl
Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks.
CoRR
Alexander Luce, Ali Mahdavi, Heribert Wankerl, Florian Marquardt
2021 J jnl
Self-learning Machines based on Hamiltonian Echo Backpropagation.
CoRR
Victor Lopez-Pastor, Florian Marquardt
2021 J jnl
TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization.
CoRR
Alexander Luce, Ali Mahdavi, Florian Marquardt, Heribert Wankerl