Mohammad Lotfollahi

According to our database, Mohammad Lotfollahi authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments.

Andrea Rubbi, Arpit Merchant, Samuel Ogden, Amir Akbarnejad, Pietro Liò, Sattar Vakili, Mohammad Lotfollahi

CoRR, May, 2026

A Standardized Framework For Evaluating Gene Expression Generative Models.

Andrea Rubbi, Andrea Giuseppe Di Francesco, Mohammad Lotfollahi, Pietro Liò

CoRR, March, 2026

DirMoE: Dirichlet-routed Mixture of Experts.

Amirhossein Vahidi, Hesam Asadollahzadeh, Navid Akhavan Attar, Marie Moullet, Kevin Ly, Xingyi Yang, Mohammad Lotfollahi

CoRR, February, 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

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

Integration and Querying of Multimodal Single-Cell Data with PoE-VAE.

Anastasia Litinetskaya, Maiia Schulman, Fabiola Curion, Artur Szalata, Alireza Omidi, Mohammad Lotfollahi, Fabian J. Theis

Proceedings of the Research in Computational Molecular Biology, 2025

2024

Deep learning in spatially resolved transcriptomics: a comprehensive technical view.

Roxana Zahedi, Reza Ghamsari, Ahmadreza Argha, Callum Macphillamy, Amin Beheshti, Roohallah Alizadehsani, Nigel H. Lovell, Mohammad Lotfollahi, Hamid Alinejad-Rokny

Briefings Bioinform., March, 2024

2022

Predicting single-cell perturbation responses for unseen drugs.

Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis

CoRR, 2022

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution.

Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Deep packet: a novel approach for encrypted traffic classification using deep learning.

Mohammad Lotfollahi, Mahdi Jafari Siavoshani, Ramin Shirali Hossein Zade, Mohammdsadegh Saberian

Soft Comput., 2020

Conditional out-of-distribution generation for unpaired data using transfer VAE.

Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf

Bioinform., 2020

2019

Conditional out-of-sample generation for unpaired data using trVAE.

Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf

CoRR, 2019