Enregistré dans:
| Auteurs principaux: | Pillai, Arvind, Spathis, Dimitris, Nepal, Subigya, Collins, Amanda C, Mackin, Daniel M, Heinz, Michael V, Griffin, Tess Z, Jacobson, Nicholas C, Campbell, Andrew |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2502.07608 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
par: Xu, Wenxuan, et autres
Publié: (2025)
par: Xu, Wenxuan, et autres
Publié: (2025)
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images
par: Nepal, Subigya, et autres
Publié: (2024)
par: Nepal, Subigya, et autres
Publié: (2024)
PaPaGei: Open Foundation Models for Optical Physiological Signals
par: Pillai, Arvind, et autres
Publié: (2024)
par: Pillai, Arvind, et autres
Publié: (2024)
MotionTeller: Multi-modal Integration of Wearable Time-Series with LLMs for Health and Behavioral Understanding
par: Zhang, Aiwei, et autres
Publié: (2025)
par: Zhang, Aiwei, et autres
Publié: (2025)
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App
par: Nepal, Subigya, et autres
Publié: (2024)
par: Nepal, Subigya, et autres
Publié: (2024)
Learning Transferable Sensor Models via Language-Informed Pretraining
par: Chen, Yuliang, et autres
Publié: (2026)
par: Chen, Yuliang, et autres
Publié: (2026)
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences
par: Nepal, Subigya, et autres
Publié: (2024)
par: Nepal, Subigya, et autres
Publié: (2024)
Hiding in Plain Sight: Finding MAHA on Reddit
par: Ahmed, Sabit, et autres
Publié: (2026)
par: Ahmed, Sabit, et autres
Publié: (2026)
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
par: Wu, Yu, et autres
Publié: (2024)
par: Wu, Yu, et autres
Publié: (2024)
A Survey of Passive Sensing for Workplace Wellbeing and Productivity
par: Nepal, Subigya K., et autres
Publié: (2022)
par: Nepal, Subigya K., et autres
Publié: (2022)
TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health
par: Fan, Yuang, et autres
Publié: (2026)
par: Fan, Yuang, et autres
Publié: (2026)
Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
par: Zhu, Shanshan, et autres
Publié: (2026)
par: Zhu, Shanshan, et autres
Publié: (2026)
Wearable Foundation Models Should Go Beyond Static Encoders
par: Wu, Yu Yvonne, et autres
Publié: (2026)
par: Wu, Yu Yvonne, et autres
Publié: (2026)
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
par: Adler, Coen, et autres
Publié: (2025)
par: Adler, Coen, et autres
Publié: (2025)
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
par: Deldari, Shohreh, et autres
Publié: (2023)
par: Deldari, Shohreh, et autres
Publié: (2023)
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
par: Liu, Mingzhu, et autres
Publié: (2024)
par: Liu, Mingzhu, et autres
Publié: (2024)
PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship
par: Wang, Zhiyuan, et autres
Publié: (2026)
par: Wang, Zhiyuan, et autres
Publié: (2026)
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
par: Pillai, Sneh
Publié: (2025)
par: Pillai, Sneh
Publié: (2025)
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
par: Niu, Wenzhe, et autres
Publié: (2025)
par: Niu, Wenzhe, et autres
Publié: (2025)
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
par: Wang, Chengsen, et autres
Publié: (2024)
par: Wang, Chengsen, et autres
Publié: (2024)
Evaluating Time Series Foundation Models on Noisy Periodic Time Series
par: Gupta, Syamantak Datta
Publié: (2025)
par: Gupta, Syamantak Datta
Publié: (2025)
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
par: Marconi, Ben A.
Publié: (2025)
par: Marconi, Ben A.
Publié: (2025)
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
par: Yfantidou, Sofia, et autres
Publié: (2024)
par: Yfantidou, Sofia, et autres
Publié: (2024)
Using Self-supervised Learning Can Improve Model Fairness
par: Yfantidou, Sofia, et autres
Publié: (2024)
par: Yfantidou, Sofia, et autres
Publié: (2024)
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
par: Gong, Peiliang, et autres
Publié: (2025)
par: Gong, Peiliang, et autres
Publié: (2025)
How Foundational are Foundation Models for Time Series Forecasting?
par: Karaouli, Nouha, et autres
Publié: (2025)
par: Karaouli, Nouha, et autres
Publié: (2025)
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
par: Furqon, M. T., et autres
Publié: (2025)
par: Furqon, M. T., et autres
Publié: (2025)
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
par: Wang, Chengsen, et autres
Publié: (2025)
par: Wang, Chengsen, et autres
Publié: (2025)
Kinematic Tokenization: Optimization-Based Continuous-Time Tokens for Learnable Decision Policies in Noisy Time Series
par: Kearney, Griffin
Publié: (2026)
par: Kearney, Griffin
Publié: (2026)
This Time is Different: An Observability Perspective on Time Series Foundation Models
par: Cohen, Ben, et autres
Publié: (2025)
par: Cohen, Ben, et autres
Publié: (2025)
TimeFound: A Foundation Model for Time Series Forecasting
par: Xiao, Congxi, et autres
Publié: (2025)
par: Xiao, Congxi, et autres
Publié: (2025)
Are Time-Indexed Foundation Models the Future of Time Series Imputation?
par: Naour, Etienne Le, et autres
Publié: (2025)
par: Naour, Etienne Le, et autres
Publié: (2025)
Time Series Foundation Models for Process Model Forecasting
par: Yu, Yongbo, et autres
Publié: (2025)
par: Yu, Yongbo, et autres
Publié: (2025)
TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation
par: Park, Jinseong, et autres
Publié: (2024)
par: Park, Jinseong, et autres
Publié: (2024)
On the Internal Semantics of Time-Series Foundation Models
par: Pandey, Atharva, et autres
Publié: (2025)
par: Pandey, Atharva, et autres
Publié: (2025)
Foundation Models for Time Series: A Survey
par: Kottapalli, Siva Rama Krishna, et autres
Publié: (2025)
par: Kottapalli, Siva Rama Krishna, et autres
Publié: (2025)
Universal Redundancies in Time Series Foundation Models
par: Bao, Anthony, et autres
Publié: (2026)
par: Bao, Anthony, et autres
Publié: (2026)
Transformers and Their Roles as Time Series Foundation Models
par: Wu, Dennis, et autres
Publié: (2025)
par: Wu, Dennis, et autres
Publié: (2025)
Federated Foundation Models on Heterogeneous Time Series
par: Chen, Shengchao, et autres
Publié: (2024)
par: Chen, Shengchao, et autres
Publié: (2024)
Towards Interpretable Time Series Foundation Models
par: Boileau, Matthieu, et autres
Publié: (2025)
par: Boileau, Matthieu, et autres
Publié: (2025)
Documents similaires
-
LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
par: Xu, Wenxuan, et autres
Publié: (2025) -
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images
par: Nepal, Subigya, et autres
Publié: (2024) -
PaPaGei: Open Foundation Models for Optical Physiological Signals
par: Pillai, Arvind, et autres
Publié: (2024) -
MotionTeller: Multi-modal Integration of Wearable Time-Series with LLMs for Health and Behavioral Understanding
par: Zhang, Aiwei, et autres
Publié: (2025) -
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App
par: Nepal, Subigya, et autres
Publié: (2024)