Leonardi, Gian Paolo

1. A Selection Principle for the Sharp Quantitative Isoperimetric Inequality
   2010/07/22 by Cicalese, Marco, Leonardi, Gian Paolo · 7 citations
   #49J45) #52A40 (28A75 #Analysis of PDEs (math.AP) #FOS: Mathematics #Optimization and Control (math.OC)
2. An overview on the Cheeger problem
   2015/04/23 by Leonardi, Gian Paolo · 4 citations
   #35P15 #49Q10 #53A10 #FOS: Mathematics #Optimization and Control (math.OC)
3. Weak and approximate curvatures of a measure: a varifold perspective
   2019/04/11 by Buet, Blanche, Leonardi, Gian Paolo, Masnou, Simon · 2 citations
   #65D18 #Classical Analysis and ODEs (math.CA) #FOS: Mathematics #Functional Analysis (math.FA) #Numerical Analysis (math.NA) #Primary: 49Q15. Secondary: 68U05
4. Best constants for the isoperimetric inequality in quantitative form
   2010/12/30 by Marco Cicalese, Gian Paolo Leonardi, Cicalese, Marco +1 · 1 citation
   Mathematics · #Analysis of PDEs (math.AP) #FOS: Mathematics #Geometric Analysis and Curvature Flows #Nonlinear Partial Differential Equations #Point processes and geometric inequalities
5. Sharp stability inequalities for planar double bubbles
   2012/11/15 by Cicalese, Marco, Leonardi, Gian Paolo, Maggi, Francesco · 1 citation
   #Analysis of PDEs (math.AP) #FOS: Mathematics
6. Isoperimetric inequalities in unbounded convex bodies
   2016/06/13 by Leonardi, Gian Paolo, Ritoré, Manuel, Vernadakis, Efstratios · 1 citation
   #49Q10 #49Q20 #52A40 #Differential Geometry (math.DG) #FOS: Mathematics #Metric Geometry (math.MG)
7. Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm
   2022/03/21 by Matteo Spallanzani, Gian Paolo Leonardi, Spallanzani, Matteo +3 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification