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Frank Schäfer
Frank Schäfer
Bestätigte E-Mail-Adresse bei mit.edu
Titel
Zitiert von
Zitiert von
Jahr
Unsupervised identification of topological phase transitions using predictive models
E Greplova, A Valenti, G Boschung, F Schäfer, N Lörch, S Huber
New Journal of Physics, 2020
762020
A differentiable programming method for quantum control
F Schäfer, M Kloc, C Bruder, N Lörch
Machine Learning: Science and Technology 1 (3), 035009, 2020
582020
Vector field divergence of predictive model output as indication of phase transitions
F Schäfer, N Lörch
Physical Review E 99 (6), 062107, 2019
432019
Interpretable and unsupervised phase classification
J Arnold, F Schäfer, M Žonda, AUJ Lode
Physical Review Research 3 (3), 033052, 2021
312021
Control of stochastic quantum dynamics by differentiable programming
F Schäfer, P Sekatski, M Koppenhöfer, C Bruder, M Kloc
Machine Learning: Science and Technology 2 (3), 035004, 2021
232021
Automatic differentiation of programs with discrete randomness
G Arya, M Schauer, F Schäfer, C Rackauckas
Advances in Neural Information Processing Systems 35, 10435-10447, 2022
202022
Replacing neural networks by optimal analytical predictors for the detection of phase transitions
J Arnold, F Schäfer
Physical Review X 12 (3), 031044, 2022
142022
Continuous monitoring and feedback control of qubit dynamics using differentiable programming
F Schäfer, P Sekatski, M Koppenhoefer, N Loerch, C Bruder, M Kloc
Bulletin of the American Physical Society, 2021
11*2021
Spectral Structure and Many-Body Dynamics of Ultracold Bosons in a Double-Well
F Schäfer, MA Bastarrachea-Magnani, AUJ Lode, L de Forges de Parny, ...
Entropy 22 (4), 382, 2020
82020
AbstractDifferentiation. jl: Backend-Agnostic Differentiable Programming in Julia
F Schäfer, M Tarek, L White, C Rackauckas
arXiv preprint arXiv:2109.12449, 2021
72021
Cooperative scattering of scalar waves by optimized configurations of point scatterers
F Schäfer, F Eckert, T Wellens
Journal of Physics B: Atomic, Molecular and Optical Physics 50 (23), 235502, 2017
32017
Differentiating Metropolis-Hastings to Optimize Intractable Densities
G Arya, R Seyer, F Schäfer, A Lew, M Huot, VK Mansinghka, ...
arXiv preprint arXiv:2306.07961, 2023
22023
Performance Bounds for Quantum Control
F Holtorf, F Schäfer, J Arnold, C Rackauckas, A Edelman
arXiv preprint arXiv:2304.03366, 2023
22023
Data-Driven Reconstruction of Spectral Conductivity and Chemical Potential Using Thermoelectric Transport Properties
T Hirosawa, F Schäfer, H Maebashi, H Matsuura, M Ogata
Journal of the Physical Society of Japan 91 (11), 114603, 2022
22022
Mapping out phase diagrams with generative classifiers
J Arnold, F Schäfer, A Edelman, C Bruder
arXiv preprint arXiv:2306.14894, 2023
12023
MCTDH-X: The Multiconfigurational Time-Dependent Hartree Method for Indistinguishable Particles High-Performance Computation Project
AUJ Lode, OE Alon, MA Bastarrachea-Magnani, A Bhowmik, ...
High Performance Computing in Science and Engineering'20: Transactions of …, 2021
12021
Dynamics and spectral structure of strongly interacting bosons in a double well
F Schäfer
Masterarbeit, Universität Freiburg, 2018, 2020
12020
Optimal configurations for linear point scatterers
F Schäfer
Bachelorarbeit, Albert-Ludwigs-Universität Freiburg, 2015, 2015
12015
Methods and systems for automatic differentiation of discrete and discrete-continuous stochastic programs
C Rackauckas, M Schauer, F Schäfer, G Arya
US Patent App. 18/340,594, 2023
2023
Machine learning phase transitions: Connections to the Fisher information
J Arnold, N Lörch, F Holtorf, F Schäfer
arXiv preprint arXiv:2311.10710, 2023
2023
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