Carrillo, Jose A.
- Primal dual methods for Wasserstein gradient flows
2019/01/23 by José A. Carrillo, Katy Craig, Carrillo, Jose A. +5 · 7 citations
Mathematics · #FOS: Mathematics #Geometric Analysis and Curvature Flows #Nonlinear Partial Differential Equations #Numerical Analysis (math.NA) #Numerical methods in inverse problems
- Aggregation-diffusion equations: dynamics, asymptotics, and singular limits
2018/10/08 by José A. Carrillo, Carrillo, Jose A., Katy Craig +3 · 6 citations
Mathematics · Medicine · #Analysis of PDEs (math.AP) #FOS: Mathematics #Fractional Differential Equations Solutions #Mathematical and Theoretical Epidemiology and Ecology Models #Numerical Analysis (math.NA) #Stochastic processes and statistical mechanics
- A particle method for the homogeneous Landau equation
2019/10/07 by José A. Carrillo, Jingwei Hu, Carrillo, Jose A. +5 · 6 citations
Mathematics · Physics and Astronomy · #65M75 #82B40 #82D10 #Analysis of PDEs (math.AP) #FOS: Mathematics #Gas Dynamics and Kinetic Theory #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Quantum chaos and dynamical systems
- Phase transitions and bump solutions of the Keller-Segel model with volume exclusion
2019/04/26 by José A. Carrillo, Carrillo, Jose A., Xinfu Chen +7 · 3 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Analysis of PDEs (math.AP) #FOS: Mathematics #Gene Regulatory Network Analysis #Mathematical Biology Tumor Growth #Mathematical and Theoretical Epidemiology and Ecology Models
- A population dynamics model of cell-cell adhesion incorporating population pressure and density saturation
2019/01/09 by Carrillo, Jose A., Murakawa, Hideki, Sato, Makoto +2 · 2 citations
#Cell Behavior (q-bio.CB) #FOS: Biological sciences
- FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization
2023/05/04 by José A. Carrillo, Nicolás García Trillos, Carrillo, Jose A. +5 · 3 citations
Computer Science · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Sharp conditions to avoid collisions in singular Cucker-Smale interactions
2016/09/12 by Carrillo, Jose A., Choi, Young-Pil, Mucha, Piotr B. +1 · 1 citation
#74A25 #92D25 #Dynamical Systems (math.DS) #FOS: Mathematics
- Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion
2024/02/09 by Carrillo, Jose A., Estrada-Rodriguez, Gissell, Mikolas, Laszlo +1 · 2 citations
#35Q70 #65F22 #70-08 #70F17 #Analysis of PDEs (math.AP) #FOS: Mathematics
- On a Mean Field Optimal Control Problem
2019/09/23 by Carrillo, Jose A., Pimentel, Edgard A., Voskanyan, Vardan K. · 1 citation
#35A01 #35B45 #35K10 #Analysis of PDEs (math.AP) #FOS: Mathematics #Optimization and Control (math.OC)
- Lagrangian schemes for Wasserstein gradient flows
2020/03/08 by Carrillo, Jose A., Matthes, Daniel, Wolfram, Marie-Therese · 1 citation
#FOS: Mathematics #Numerical Analysis (math.NA)
- Structure preserving primal dual methods for gradient flows with nonlinear mobility transport distances
2023/03/29 by José A. Carrillo, Carrillo, Jose A., Li Wang +3 · 2 citations
Engineering · Mathematics · #35A15 #47J25 #47J35 #49M29 #65K10 #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Gas Dynamics and Kinetic Theory #Geometric Analysis and Curvature Flows #Numerical Analysis (math.NA)