Frank Schäfer

1. NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia
   2024/03/25 by Avik Pal, Pal, Avik, Flemming Holtorf +20 · 3 voices · 5 citations
   Computer Science · Physics and Astronomy · #Parallel Computing and Optimization Techniques #Polynomial and algebraic computation #Quantum chaos and dynamical systems #math.NA
2. Automatic Differentiation of Programs with Discrete Randomness
   2022/10/16 by Gaurav Arya, Arya, Gaurav, Moritz Schauer +6 · 2 voices · 6 citations
   Computer Science · Decision Sciences · #cs.LG #cs.MS #math.NA #math.PR
3. Differentiable Programming for Differential Equations: A Review
   2024/06/14 by Facundo Sapienza, Sapienza, Facundo, Jordi Bolíbar +19 · 8 citations
   Computer Science · Mathematics · Engineering · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Optimization and Mathematical Programming
4. Automated reconstruction of bound states in bilayer graphene quantum dots
   2022/03/01 by Józef Bućko, Bucko, Jozef, Frank Schäfer +13 · 1 citation
   Computer Science · Materials Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Graphene research and applications #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum and electron transport phenomena
5. Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion
   2023/11/15 by Julian Arnold, Frank Schäfer, Arnold, Julian +3 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics #Statistical Mechanics (cond-mat.stat-mech) #Theoretical and Computational Physics
6. Machine learning phase transitions: Connections to the Fisher information
   2023/11/17 by Julian Arnold, Niels Lörch, Arnold, Julian +5 · 3 citations
   Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #Statistical Mechanics and Entropy
7. A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
   2026/07/17 by Owen Lockwood, Jérémy Béjanin, Joost Bus +4 · 1 voice
   #cs.LG #cs.ET #physics.app-ph