Gualandi, Stefano

1. Computing Kantorovich-Wasserstein Distances on d-dimensional\n histograms using (d+1)-partite graphs
   2018/05/18 by Gennaro Auricchio, Federico Bassetti, Auricchio, Gennaro +5 · 3 citations
   Mathematics · #Point processes and geometric inequalities #Limits and Structures in Graph Theory
2. The Gene Mover's Distance: Single-cell similarity via Optimal Transport
   2021/02/01 by Riccardo Bellazzi, Andrea Codegoni, Bellazzi, Riccardo +7 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Single-cell and spatial transcriptomics #Machine Learning and Algorithms #Gene expression and cancer classification
3. Call center service times are lognormal. A Fokker--Planck description
   2018/02/23 by Gualandi, Stefano, Toscani, Giuseppe · 1 citation
   #35Q84 #82B21 #91D10 #94A17 #FOS: Physical sciences #Physics and Society (physics.soc-ph)
4. The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems
   2020/05/13 by Auricchio, Gennaro, Codegoni, Andrea, Gualandi, Stefano +2 · 2 citations
   #90C06 #90C08 #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (stat.ML) #Mathematical Physics (math-ph) #Optimization and Control (math.OC)
5. On the generation of Metric TSP instances with a large integrality gap by branch-and-cut
   2021/09/06 by Eleonora Vercesi, Vercesi, Eleonora, Stefano Gualandi +5 · 2 citations
   Engineering · Social Sciences · #FOS: Mathematics #Optimization and Control (math.OC) #Transportation Planning and Optimization #Transportation and Mobility Innovations #Vehicle Routing Optimization Methods
6. Human Behavior And Lognormal Distribution. A Kinetic Description
   2018/09/05 by Stefano Gualandi, Gualandi, Stefano, Giuseppe Toscani +1 · 1 citation
   Business, Management and Accounting · Economics, Econometrics and Finance · #35Q84 #82B21 #91D10 #94A17 #Advanced Queuing Theory Analysis #Complex Systems and Time Series Analysis #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Stochastic processes and financial applications