M squared PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease

arXiv:2609.28836 · cs.CV, cs.AI, cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/PriorLabs/TabPFN

Terminology

• Transformer — 22× in this paper · explained in 2 episodes
• Alignment — 19× in this paper · explained in 1 episode
• AUC — 17× in this paper · explained in 2 episodes
• In-Context Learning — 15× in this paper · explained in 4 episodes
• Foundation Model — 10× in this paper · explained in 3 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Representation Learning — 8× in this paper · explained in 2 episodes
• Disentangled Alignment — 6× in this paper
• Generalization — 6× in this paper · explained in 13 episodes
• In-Context Learning (ICL) — 5× in this paper · explained in 5 episodes
• Multimodal Fusion — 5× in this paper · explained in 3 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Bayesian Inference — 2× in this paper · explained in 5 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Mini-Mental State Examination — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• National Institutes of Health — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• MONAI: An open-source framework for deep learning in healthcare
• Med3D: Transfer Learning for 3D Medical Image Analysis
• AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models