Ihab Bendidi - RankMe

17 papers A* 3B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Learning for BioImaging: What Are We Learning? CoRR Ivan Svatko, Maxime Sanchez, Ihab Bendidi, Gilles Cottrell, Auguste Genovesio
2026	J	`jnl`	XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision. CoRR Alexandre Myara, Nicolas Bourriez, Thomas Boyer, Thomas Lemercier, Ihab Bendidi, Auguste Genovesio
2025	A*	`conf`	A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features. ICML Ihab Bendidi, Yassir El Mesbahi, Alisandra Kaye Denton, Karush Suri, Kian Kenyon-Dean, Auguste Genovesio, Emmanuel Noutahi
2025	J	`jnl`	A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features. CoRR Ihab Bendidi, Yassir El Mesbahi, Alisandra Kaye Denton, Karush Suri, Kian Kenyon-Dean, Auguste Genovesio, Emmanuel Noutahi
2025	J	`jnl`	TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction. CoRR 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
2025	A*	`conf`	ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy. ICML 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
2024	J	`jnl`	Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all. CoRR Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean, Hanene Ben Yedder, Yassir El Mesbahi, Emmanuel Noutahi, Alisandra Kaye Denton
2024	A*	`conf`	ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Image. CVPR Nicolas Bourriez, Ihab Bendidi, Ethan Cohen, Gabriel Watkinson, Maxime Sanchez, Guillaume Bollot, Auguste Genovesio
2024	B	`conf`	Prompt Performance Prediction For Image Generation. ICIP Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix
2024	J	`jnl`	ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy. CoRR Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason S. Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Marta M. Fay, Juan Sebastián Rodríguez Vera, Imran S. Haque, Oren Kraus
2024	—	`conf`	Weakly Supervised Cross-Modal Learning in High-Content Screening. ISBI Gabriel Watkinson, Ethan Cohen, Nicolas Bourriez, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio
2023	J	`jnl`	ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images. CoRR Nicolas Bourriez, Ihab Bendidi, Ethan Cohen, Gabriel Watkinson, Maxime Sanchez, Guillaume Bollot, Auguste Genovesio
2023	J	`jnl`	No Free Lunch in Self Supervised Representation Learning. CoRR Ihab Bendidi, Adrien Bardes, Ethan Cohen, Alexis Lamiable, Guillaume Bollot, Auguste Genovesio
2023	J	`jnl`	Prompt Performance Prediction for Generative IR. CoRR Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix
2023	J	`jnl`	Weakly supervised cross-modal learning in high-content screening. CoRR Gabriel Watkinson, Ethan Cohen, Nicolas Bourriez, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio
2022	—	`conf`	Comparison of Semi-supervised Learning Methods for High Content Screening Quality Control. ECCV Workshops (4) Umar Masud, Ethan Cohen, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio
2022	J	`jnl`	Comparison of semi-supervised learning methods for High Content Screening quality control. CoRR Umar Masud, Ethan Cohen, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio