SiG-DML-P4: Learning Methods for Inverse Problems
Wed, 2 Sep, 14:00 - 15:40 Belgium Time (UTC +2)
Location: Balcony II East
Session Type: Poster
Track: SiG-DML - Signal and Data Analytics for Machine Learning

SiG-DML-P4.1: MAXIMUM ENTROPY LINEAR FEATURE INVERSION FOR MACHINE LEARNING
Paul Baggenstoss, Fraunhofer, Germany

SiG-DML-P4.2: SOLVING ILL-CONDITIONED POLYNOMIAL EQUATIONS USING SCORE-BASED PRIORS WITH APPLICATION TO MULTI-TARGET DETECTION
Rafi Beinhorn, Shay Kreymer, Amnon Balanov, Michael Cohen, Alon Zabatani, Tamir Bendory, Tel Aviv University, Israel

SiG-DML-P4.3: UNFOLDED PRIMAL-DUAL ALGORITHM ESTIMATING TIME-VARYING COVID-19 REPRODUCTION NUMBERS
Benjamin Pineau, Barbara Pascal, Sébastien Bourguignon, Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France, France

SiG-DML-P4.4: A GIBBS POSTERIOR SAMPLER FOR INVERSE PROBLEM BASED ON PRIOR DIFFUSION MODEL
Jean-Francois Giovannelli, Univ. Bordeaux, France

SiG-DML-P4.5: PREVENTING OVERFITTING IN DEEP IMAGE PRIOR FOR HYPERSPECTRAL IMAGE DENOISING
Panagiotis Gkotsis, Athanasios A. Rontogiannis, Athena Research Center, Greece

SiG-DML-P4.6: PHYSICS-INFORMED SELF-SUPERVISED DESPECKLING FOR COHERENT IMAGING SONAR
Zixin Wang, James Hopgood, Mike Davies, University of Edinburgh, United Kingdom

SiG-DML-P4.7: Uncertainty-aware data assimilation through variational inference
Anthony Frion, David Greenberg, Helmholtz-Zentrum Hereon, Germany

SiG-DML-P4.8: A SPARSE HEAVISIDE FUNCTION FRAMEWORK FOR INVERSE PROBLEMS WITH APPLICATION TO RF TOMOGRAPHY
Richard Oliveira, Consiglio Nazionale delle Ricerche, Politecnico di Milano, Italy; Federica Fieramosca, Stefano Savazzi, Consiglio Nazionale delle Ricerche, Italy

SiG-DML-P4.9: Levenberg–Marquardt with Normalizing-Flow Priors for Power System State Estimation
Shir Schneorson, David Hay, The Hebrew University of Jerusalem, Israel; Tirza Routtenberg, Ben-Gurion University, Israel; Ami Wiesel, The Hebrew University of Jerusalem, Israel

SiG-DML-P4.10: SPARSE MM-NET FOR INVERSE PROBLEMS: APPLIED TO EEG IMAGING
Le Minh Triet Tran, Sarah Reynaud, Ronan Fablet, Adrien Merlini, François Rousseau, Mai Quyen Pham, IMT Atlantique, France