Schäfer, Frank

1. Automatic Differentiation of Programs with Discrete Randomness
   2022/10/16 by Gaurav Arya, Moritz Schauer, Arya, Gaurav +6 · 2 voices · 7 citations
   Computer Science · Decision Sciences · Mathematics · #cs.LG #cs.MS #math.NA #math.PR
2. Differentiable Programming for Differential Equations: A Review
   2024/06/14 by Facundo Sapienza, Sapienza, Facundo, Jordi Bolíbar +19 · 9 citations
   Computer Science · Mathematics · Engineering · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Optimization and Mathematical Programming
3. Phase Transitions in the Output Distribution of Large Language Models
   2024/05/27 by Arnold, Julian, Holtorf, Flemming, Schäfer, Frank +1 · 4 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistical Mechanics (cond-mat.stat-mech)
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. AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
   2021/09/25 by Frank Schäfer, Schäfer, Frank, Mohamed Tarek +5 · 1 voice
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Software Engineering (cs.SE) #cs.LG #cs.MS #cs.SE
8. Machine learning the Ising transition: A comparison between discriminative and generative approaches
   2024/11/28 by Frank Schäfer, Zhang, Difei, Schäfer, Frank +2 · 1 citation
   Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Opinion Dynamics and Social Influence #Statistical Mechanics (cond-mat.stat-mech)