Ihab Bendidi

According to our database, Ihab Bendidi authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Deep Learning for BioImaging: What Are We Learning?

Ivan Svatko, Maxime Sanchez, Ihab Bendidi, Gilles Cottrell, Auguste Genovesio

CoRR, March, 2026

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision.

Alexandre Myara, Nicolas Bourriez, Thomas Boyer, Thomas Lemercier, Ihab Bendidi, Auguste Genovesio

CoRR, January, 2026

2025

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction.

Frederik Wenkel, Wilson Tu, Cassandra Masschelein, Hamed Shirzad, Cian Eastwood, Shawn Whitfield, Ihab Bendidi, Craig Russell, Liam Hodgson, Yassir El Mesbahi, Jiarui Ding, Marta M. Fay, Berton Earnshaw, Emmanuel Noutahi, Alisandra Kaye Denton

CoRR, May, 2025

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.

Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason S. Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Juan Sebastián Rodríguez Vera, Marta M. Fay, Imran S. Haque, Oren Kraus

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features.

Ihab Bendidi, Yassir El Mesbahi, Alisandra Kaye Denton, Karush Suri, Kian Kenyon-Dean, Auguste Genovesio, Emmanuel Noutahi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all.

Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean, Hanene Ben Yedder, Yassir El Mesbahi, Emmanuel Noutahi, Alisandra Kaye Denton

CoRR, 2024

Weakly Supervised Cross-Modal Learning in High-Content Screening.

Gabriel Watkinson, Ethan Cohen, Nicolas Bourriez, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Prompt Performance Prediction For Image Generation.

Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix

Proceedings of the IEEE International Conference on Image Processing, 2024

ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Image.

Nicolas Bourriez, Ihab Bendidi, Ethan Cohen, Gabriel Watkinson, Maxime Sanchez, Guillaume Bollot, Auguste Genovesio

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images.

Nicolas Bourriez, Ihab Bendidi, Ethan Cohen, Gabriel Watkinson, Maxime Sanchez, Guillaume Bollot, Auguste Genovesio

CoRR, 2023

Prompt Performance Prediction for Generative IR.

Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix

CoRR, 2023

No Free Lunch in Self Supervised Representation Learning.

Ihab Bendidi, Adrien Bardes, Ethan Cohen, Alexis Lamiable, Guillaume Bollot, Auguste Genovesio

CoRR, 2023

2022

Comparison of Semi-supervised Learning Methods for High Content Screening Quality Control.

Umar Masud, Ethan Cohen, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022