Copertina

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ravindra, Neal G., Sehanobish, Arijit
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep Time Warping for Multiple Time Series Alignment
di: Nourbakhsh, Alireza, et al.
Pubblicazione: (2025)

Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
di: Gupta, Divij, et al.
Pubblicazione: (2024)

Foundation Model for Cardiac Time Series via Masked Latent Attention
di: Vandenhirtz, Moritz, et al.
Pubblicazione: (2026)

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
di: Afzali, Amirabbas, et al.
Pubblicazione: (2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
di: Koeshidayatullah, Ardiansyah, et al.
Pubblicazione: (2024)

EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding
di: Sarkar, Shantanu, et al.
Pubblicazione: (2025)

Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models
di: Bozkurt, Ecem, et al.
Pubblicazione: (2025)

Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks
di: Hu, Jingzhi, et al.
Pubblicazione: (2024)

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
di: Patel, Gaurav, et al.
Pubblicazione: (2024)

SpectrumFM: Redefining Spectrum Cognition via Foundation Modeling
di: Liu, Chunyu, et al.
Pubblicazione: (2025)

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
di: Abbaspourazad, Salar, et al.
Pubblicazione: (2024)

LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models
di: Anjum, Md Fahim
Pubblicazione: (2024)

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
di: Zhang, Yuren, et al.
Pubblicazione: (2025)

TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
di: Xie, Luyuan, et al.
Pubblicazione: (2024)

A Comprehensive Benchmark for Electrocardiogram Time-Series
di: Tang, Zhijiang, et al.
Pubblicazione: (2025)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2024)

Multimodal Wireless Foundation Models
di: Aboulfotouh, Ahmed, et al.
Pubblicazione: (2025)

Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
di: Lee, Gabriel Jason, et al.
Pubblicazione: (2026)

UniMTS: Unified Pre-training for Motion Time Series
di: Zhang, Xiyuan, et al.
Pubblicazione: (2024)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints
di: Narasimhan, Sai Shankar, et al.
Pubblicazione: (2024)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting
di: Yi, Kun, et al.
Pubblicazione: (2024)

Interpretable Pre-Trained Transformers for Heart Time-Series Data
di: Davies, Harry J., et al.
Pubblicazione: (2024)

MedMamba: Recasting Mamba for Medical Time Series Classification
di: He, ZhengXiao, et al.
Pubblicazione: (2026)

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
di: Chen, Chi-Sheng, et al.
Pubblicazione: (2026)

TADA: Temporal Adversarial Data Augmentation for Time Series Data
di: Lee, Byeong Tak, et al.
Pubblicazione: (2024)

Learning to Embed Distributions via Maximum Kernel Entropy
di: Kachaiev, Oleksii, et al.
Pubblicazione: (2024)

TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
di: Lu, Yihang, et al.
Pubblicazione: (2025)

Towards a Foundation Model for Communication Systems
di: Buffelli, Davide, et al.
Pubblicazione: (2025)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
di: Chen, Qian, et al.
Pubblicazione: (2022)

A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2025)

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
di: Ghaderi, Hamid, et al.
Pubblicazione: (2023)

A Multitask VAE for Time Series Preprocessing and Prediction of Blood Glucose Level
di: AbuSaleh, Ali, et al.
Pubblicazione: (2024)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
di: Wang, Yihe, et al.
Pubblicazione: (2024)

TolerantECG: A Foundation Model for Imperfect Electrocardiogram
di: Nguyen, Huynh Dang, et al.
Pubblicazione: (2025)

Large-scale Training of Foundation Models for Wearable Biosignals
di: Abbaspourazad, Salar, et al.
Pubblicazione: (2023)

A Phenomenological AI Foundation Model for Physical Signals
di: Lien, Jaime, et al.
Pubblicazione: (2024)

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
di: Zeng, Chen, et al.
Pubblicazione: (2025)

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
di: Gkillas, Alexandros, et al.
Pubblicazione: (2024)

FM-RME: Foundation Model Empowered Radio Map Estimation
di: Yang, Dong, et al.
Pubblicazione: (2026)

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
di: Lee, Simon A., et al.
Pubblicazione: (2025)