Pablo Groisman

1. Intrinsic persistent homology via density-based metric learning
   2020/12/11 by Ximena Fernández, Fernández, Ximena, Eugenio Borghini +5 · 2 citations
   Computer Science · #55U10 #57N16 #57N25 #62-07 #62G05 #62G20 #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Topological and Geometric Data Analysis
2. The energy landscape of the Kuramoto model in random geometric graphs in a circle
   2024/02/09 by C. De Vita, De Vita, Cecilia, Julián Fernández Bonder +3 · 1 citation
   Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Analysis of PDEs (math.AP) #FOS: Mathematics #Nonlinear Dynamics and Pattern Formation #Opinion Dynamics and Social Influence #Probability (math.PR)
3. Scaling Limit of the Kuramoto Model on Random Geometric Graphs
   2024/02/23 by Francisco Cirelli, Cirelli, Francisco, Pablo Groisman +5 · 1 citation
   Medicine · Psychology · #Advanced Neuroimaging Techniques and Applications #Analysis of PDEs (math.AP) #FOS: Mathematics #Mental Health Research Topics #Probability (math.PR)