Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification. - Erik Englesson; Amir Mehrpanah; Hossein Azizpour (CoRR, 2023)

Logistic-Normal Likelihoods for Heteroscedastic Label Noise. - Erik Englesson; Amir Mehrpanah; Hossein Azizpour (Trans. Mach. Learn. Res., 2023)

DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues. - Roohallah Mahdi-Esferizi; Behnaz Haji Molla Hoseyni; Amir Mehrpanah; Yazdan Golzade; Ali Najafi; Fatemeh Elahian; Amin Zadeh Shirazi; Guillermo A. Gomez; Shahram Tahmasebian (BMC Bioinform., 2023)

On Spectral Properties of Gradient-Based Explanation Methods. - Amir Mehrpanah; Erik Englesson; Hossein Azizpour (ECCV (87), 2024)

LightDepth: A resource efficient depth estimation approach for dealing with ground truth sparsity via curriculum learning. - Fatemeh Karimi; Amir Mehrpanah; Reza Rawassizadeh (Robotics Auton. Syst., 2024)