Cover Image

Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Bingxu, Ge, Min, Cai, Kunzhi, Zhang, Yuqi, Zhou, Zeyi, Li, Wenjiao, Guo, Yachong, Wang, Wei, Zhou, Qing
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification
by: Belenguer-Llorens, Albert, et al.
Published: (2024)

Towards multi-modal forgery representation learning for AI-generated video detection and localization
by: Le, Dat, et al.
Published: (2026)

ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
by: Xu, Xueyuan, et al.
Published: (2025)

High-dimensional learning dynamics of multi-pass Stochastic Gradient Descent in multi-index models
by: Fan, Zhou, et al.
Published: (2026)

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers
by: Chen, Yuntao, et al.
Published: (2024)

Promoting cross-modal representations to improve multimodal foundation models for physiological signals
by: Fang, Ching, et al.
Published: (2024)

The contribution of vocabulary knowledge and morphological awareness to reading comprehension in a foreign language
by: Mark Feng Teng, et al.
Published: (2025)

Selection and Aggregation of Conformal Prediction Sets
by: Yang, Yachong, et al.
Published: (2021)

T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
by: Guo, Suhan, et al.
Published: (2026)

Integral $p$-adic non-abelian Hodge theory for small representations
by: Min, Yu, et al.
Published: (2023)

Machine learning study to identify collective flow in small and large colliding systems
by: Guo, Shuang, et al.
Published: (2023)

SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
by: Wang, Hsuan-Fu, et al.
Published: (2024)

Turbo your multi-modal classification with contrastive learning
by: Zhang, Zhiyu, et al.
Published: (2024)

The hinge‐1 domain of Flna is not necessary for diverse physiological functions in mice
by: Emma M. Wade, et al.
Published: (2024)

Evaluation of data inconsistency for multi-modal sentiment analysis
by: Wang, Yufei, et al.
Published: (2024)

Invariant representation learning for sequential recommendation
by: Zhou, Xiaofan
Published: (2023)

Reliable multi‐modal medical image‐to‐image translation independent of pixel‐wise aligned data
by: Langrui Zhou, et al.
Published: (2024)

Learning novel representations of variable sources from multi-modal $\textit{Gaia}$ data via autoencoders
by: Huijse, P., et al.
Published: (2025)

Integrated Cyano Groups into the Skeleton of Conjugated Polymers to Activate Molecular Oxygen for Boosting Photocatalytic H2O2 Efficiency
by: Qing Wang, et al.
Published: (2024)

Confidence-aware multi-modality learning for eye disease screening
by: Zou, Ke, et al.
Published: (2024)

Multi-modal, multi-scale representation learning for satellite imagery analysis just needs a good ALiBi
by: Kage, Patrick, et al.
Published: (2026)

A task‐centric knowledge graph construction method based on multi‐modal representation learning for industrial maintenance automation
by: Zengkun Liu, et al.
Published: (2024)

Cross-modal ultra-scale learning with tri-modalities of renal biopsy images for glomerular multi-disease auxiliary diagnosis
by: Long, Kaixing, et al.
Published: (2025)

Transformers learn factored representations
by: Shai, Adam, et al.
Published: (2026)

Latent representation learning based model correction and uncertainty quantification for PDEs
by: Zhou, Wenwen, et al.
Published: (2026)

An efficient framework for computing sensitivity of modal-related structural dynamic characteristics with multi-parameters
by: Huang, Kai, et al.
Published: (2025)

Identification of multi-component LOFAR sources with multi-modal deep learning
by: Alegre, Lara, et al.
Published: (2024)

Is attention necessary for the representational advantage of good exemplars over bad exemplars?
by: Zhenan Shao, et al.
Published: (2024)

A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data
by: Wang, Binwu, et al.
Published: (2025)

Preparation and Characterization of Smart Bioplastic Loaded Ternary Nanocomplexes of Anthocyanin/Casein/Carboxymethyl Cellulose for Shrimp Freshness Monitoring
by: Qiantong Wang, et al.
Published: (2025)

Learning Physical Simulation with Message Passing Transformer
by: Xu, Zeyi, et al.
Published: (2024)

Application of physiologically‐based pharmacokinetic modeling to inform dosing decisions for geriatric patients
by: Lixuan Qian, et al.
Published: (2024)

Can multimodal representation learning by alignment preserve modality-specific information?
by: Thoreau, Romain, et al.
Published: (2025)

DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning
by: Bo, Zeyi, et al.
Published: (2024)

Localized KBO with genetic dynamics for multi-modal optimization
by: Ferrarese, Federica, et al.
Published: (2024)

Understanding and Improving Automated Proof Synthesis for Interactive Theorem Provers
by: Zhang, Manqing, et al.
Published: (2026)

Domain-constrained knowledge representation: A modal framework
by: Li, Chao, et al.
Published: (2026)

Cohort profile: A longitudinal multi‐omics cohort of patients with acute coronary syndrome
by: Rong Huang, et al.
Published: (2024)

Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals
by: Haule, Hollan, et al.
Published: (2024)

Functional Integration in Tailored Polymers Enables Zwitterionic Membranes with Selective Ion Transport and Enhanced Stability
by: Tao Ban, et al.
Published: (2025)