Your Out-of-Distribution Detection Method is Not Robust! - Mohammad Azizmalayeri; Arshia Soltani Moakhar; Arman Zarei; Reihaneh Zohrabi; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (NeurIPS, 2022)

SPADE: Sparsity-Guided Debugging for Deep Neural Networks. - Arshia Soltani Moakhar; Eugenia Iofinova; Dan Alistarh (CoRR, 2023)

Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. - Arshia Soltani Moakhar; Mohammad Azizmalayeri; Hossein Mirzaei; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Software 1.0 Strengths for Interpretability and Data Efficiency. - Maral Jabbarishiviari; Arshia Soltani Moakhar (Tiny Papers @ ICLR, 2024)

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Ali Ansari 001; Sepehr Ghobadi; Masoud Hadi; Arshia Soltani Moakhar; Mohammad Azizmalayeri; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (ICML, 2024)

SPADE: Sparsity-Guided Debugging for Deep Neural Networks. - Arshia Soltani Moakhar; Eugenia Iofinova; Elias Frantar; Dan Alistarh (ICML, 2024)

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. - Angelika Romanou; Negar Foroutan; Anna Sotnikova; Zeming Chen 001; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Mohamed A. Haggag; Imanol Schlag; Marzieh Fadaee; Sara Hooker; et al. (ICLR, 2025)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation. - Israfel Salazar; Manuel Fernández Burda; Shayekh Bin Islam; Arshia Soltani Moakhar; Shivalika Singh; Fabian Farestam; Angelika Romanou; Danylo Boiko; Dipika Khullar; Mike Zhang; Dominik Krzeminski; Jekaterina Novikova; et al. (CoRR, 2025)