Improving Molecular-Morphology Contrastive Pretraining using Deep-Learning-based Morphology Profiles
cs.LG, q-bio.BM
Submitted: 2026-09-24
Updated: 2026-09-24
Code: https://github.com/liugangcode/InfoAlign
Terminology
Sources
- ChemBERTa-2: Towards Chemical Foundation Models
- Learning Molecular Representation in a Cell
- Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
- How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
- CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning
- A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
- Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels
- Masked Autoencoders are Scalable Learners of Cellular Morphology
- Decoupled Weight Decay Regularization
- Representation Learning with Contrastive Predictive Coding
- SGDR: Stochastic Gradient Descent with Warm Restarts
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