Mohammad V. Sanian

According to our database, Mohammad V. Sanian authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization.

Andrea Rubbi, Amir Akbarnejad, Mohammad V. Sanian, Aryan Yazdan Parast, Hesam Asadollahzadeh, Arian Amani, Naveed Akhtar, Sarah Cooper, Andrew Bassett, Pietro Liò, Lassi Paavolainen, Sattar Vakili, Mohammad Lotfollahi

CoRR, January, 2026

MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment.

Omid Ghahroodi, Arshia Hemmat, Marzia Nouri, Seyed Mohammad Hadi Hosseini, Doratossadat Dastgheib, Mohammad V. Sanian, Alireza Sahebi, Reihaneh Zohrabi, Mohammad Hossein Rohban, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images.

Vidit Agrawal, John Peters, Tyler N. Thompson, Mohammad V. Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil L. Farhi, Ernest Fraenkel, Ron Stewart, Lassi Paavolainen, Bryan A. Plummer, Juan C. Caicedo

CoRR, December, 2025

SIGMMA: Hierarchical Graph-Based Multi-Scale Multi-modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome.

Dabin Jeong, Amirhossein Vahidi, Ciro Ramírez-Suástegui, Marie Moullet, Kevin Ly, Mohammad V. Sanian, Sebastian Birk, Yinshui Chang, Adam Boxall, Daniyal Jafree, Lloyd Steele, Vijaya Baskar MS, Muzlifah Haniffa, Mohammad Lotfollahi

CoRR, November, 2025

3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology.

Mohammad V. Sanian, Arshia Hemmat, Amirhossein Vahidi, Jonas Maaskola, Jimmy Tsz Hang Lee, Stanislaw Makarchuk, Yeliz Demirci, Nana-Jane Chipampe, Muzlifah Haniffa, Ömer Bayraktar, Lassi Paavolainen, Mohammad Lotfollahi

CoRR, November, 2025

2024

Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?

Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

CoRR, 2024

2023

Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery.

Nahal Mirzaie, Mohammad V. Sanian, Mohammad H. Rohban

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023