T2.R3.4
UTOPY: UNROLLING ALGORITHM LEARNING VIA FIDELITY HOMOTOPY FOR INVERSE PROBLEMS
Roman Jacome, Romario Gualdron-Hurtado, Leon Suarez-Rodriguez, Henry Arguello, Universidad Industrial de Santander, Colombia
Session:
T2.R3: Optimization and Learning in Sensing and Communications Lecture
Track:
Other Areas and Applications
Location:
Isabela III
Presentation Time:
Tue, 16 Dec, 17:00 - 17:20 AST (UTC -4)
Session Co-Chairs:
Pier Luigi Dragotti, Imperial College London and Martin Haardt, Ilmenau University of Technology
Session T2.R3
T2.R3.1: A LOW-COMPLEXITY REFLECTION DESIGN METHOD FOR RIS-AIDED MIMO SYSTEMS
Soumya Nambiar, Khaled Ardah, Lenovo GmbH, Germany; Martin Haardt, Ilmenau University of Technology, Germany
T2.R3.2: DEEP DISTILLATION GRADIENT PRECONDITIONING FOR INVERSE PROBLEMS
Romario Gualdrón-Hurtado, Roman Jacome, Leon Suarez, Laura Galvis, Henry Arguello, Universidad Industrial de Santander, Colombia
T2.R3.3: MULTI-SOURCE FUSION USING BAYESIAN ONLINE CHANGE DETECTION: APPLICATION TO DEFORESTATION MONITORING USING SAR-OPTICAL TIME SERIES
Marta Bottani, TéSA, Centre d’Etudes Spatiales de la Biosphère (CESBIO), France; Laurent Ferro-Famil, ISAE Supaero, Centre d’Etudes Spatiales de la Biosphère (CESBIO), France; Jean-Yves Tourneret, TéSA, Institut de Recherche en Informatique de Toulouse (IRIT), France
T2.R3.4: UTOPY: UNROLLING ALGORITHM LEARNING VIA FIDELITY HOMOTOPY FOR INVERSE PROBLEMS
Roman Jacome, Romario Gualdron-Hurtado, Leon Suarez-Rodriguez, Henry Arguello, Universidad Industrial de Santander, Colombia
Contacts