Ratti, Luca

1. Deep neural networks for inverse problems with pseudodifferential\n operators: an application to limited-angle tomography
   2020/06/02 by Tatiana A. Bubba, Bubba, Tatiana A., Mathilde Galinier +9 · 2 citations
   Earth and Planetary Sciences · Engineering · Mathematics · #35S30 #44A12 #58J40 #68T07 #92C55 #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Microwave Imaging and Scattering Analysis #Numerical methods in inverse problems #Optimization and Control (math.OC) #Seismic Imaging and Inversion Techniques #electronic engineering #information engineering
2. Convex regularization in statistical inverse learning problems
   2021/02/18 by Tatiana A. Bubba, Bubba, Tatiana A., Martin Burger +5 · 2 citations
   Engineering · Mathematics · #62G08 #62G20 #65J22 #68Q32 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
3. Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems
   2024/04/09 by Lazzaro, Damiana, Morigi, Serena, Ratti, Luca · 3 citations
   #49K20 #65K10 #65N20 #68T07 #FOS: Mathematics #Numerical Analysis (math.NA)
4. Trust your source: quantifying source condition elements for variational regularisation methods
   2023/03/01 by Martin Benning, Tatiana A. Bubba, Benning, Martin +5 · 1 citation
   Engineering · Mathematics · Medicine · #Advanced MRI Techniques and Applications #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques
5. Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems
   2024/01/29 by Alberti, Giovanni S., Ratti, Luca, Santacesaria, Matteo +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Regularization with optimal space-time priors
   2024/05/10 by Bubba, Tatiana A., Heikkilä, Tommi, Labate, Demetrio +1 · 1 citation
   #42C40 #47A52 #65J20 #65J22 #FOS: Mathematics #Numerical Analysis (math.NA)
7. Learning sparsity-promoting regularizers for linear inverse problems
   2024/12/20 by Alberti, Giovanni S., De Vito, Ernesto, Helin, Tapio +3 · 1 citation
   #65J22 #68T05 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)