Saved in:
| Main Authors: | Sun, Jiarui, Fan, Yujie, Yeh, Chin-Chia Michael, Zhang, Wei, Chowdhary, Girish |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2309.15169 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
Empowering Time Series Forecasting with LLM-Agents
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
by: Sun, Jiarui, et al.
Published: (2023)
by: Sun, Jiarui, et al.
Published: (2023)
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
by: Sun, Jiarui, et al.
Published: (2024)
by: Sun, Jiarui, et al.
Published: (2024)
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
by: Sun, Jiarui, et al.
Published: (2025)
by: Sun, Jiarui, et al.
Published: (2025)
DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning
by: Madhusudhan, Sathwik Tejaswi, et al.
Published: (2024)
by: Madhusudhan, Sathwik Tejaswi, et al.
Published: (2024)
TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges
by: Shajihan, Althaf, et al.
Published: (2025)
by: Shajihan, Althaf, et al.
Published: (2025)
Incident-Guided Spatiotemporal Traffic Forecasting
by: Fan, Lixiang, et al.
Published: (2026)
by: Fan, Lixiang, et al.
Published: (2026)
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
by: Wei, Xinxu, et al.
Published: (2024)
by: Wei, Xinxu, et al.
Published: (2024)
UGMAE: A Unified Framework for Graph Masked Autoencoders
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
by: Der, Audrey, et al.
Published: (2024)
by: Der, Audrey, et al.
Published: (2024)
MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
by: Woehrle, Thomas, et al.
Published: (2024)
by: Woehrle, Thomas, et al.
Published: (2024)
Embracing Large Language Models in Traffic Flow Forecasting
by: Zhao, Yusheng, et al.
Published: (2024)
by: Zhao, Yusheng, et al.
Published: (2024)
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
by: Chen, Mouxiang, et al.
Published: (2024)
by: Chen, Mouxiang, et al.
Published: (2024)
Efficient Prompt Learning for Traffic Forecasting
by: Zhang, Qianru, et al.
Published: (2026)
by: Zhang, Qianru, et al.
Published: (2026)
Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
by: Zhang, Xiao, et al.
Published: (2026)
by: Zhang, Xiao, et al.
Published: (2026)
Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
Generalising Traffic Forecasting to Regions without Traffic Observations
by: Su, Xinyu, et al.
Published: (2025)
by: Su, Xinyu, et al.
Published: (2025)
Improving Robustness In Sparse Autoencoders via Masked Regularization
by: Narayanaswamy, Vivek, et al.
Published: (2026)
by: Narayanaswamy, Vivek, et al.
Published: (2026)
Detecting Generative Parroting through Overfitting Masked Autoencoders
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)
Revealing the Attention Floating Mechanism in Masked Diffusion Models
by: Dai, Xin, et al.
Published: (2026)
by: Dai, Xin, et al.
Published: (2026)
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
by: Liu, Fuqiang, et al.
Published: (2025)
by: Liu, Fuqiang, et al.
Published: (2025)
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Quantum Masked Autoencoders for Vision Learning
by: Andrews, Emma, et al.
Published: (2025)
by: Andrews, Emma, et al.
Published: (2025)
To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
by: Kim, Jungkyu, et al.
Published: (2024)
by: Kim, Jungkyu, et al.
Published: (2024)
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
by: Zhou, Jianping, et al.
Published: (2024)
by: Zhou, Jianping, et al.
Published: (2024)
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
by: Wang, Rushan, et al.
Published: (2024)
by: Wang, Rushan, et al.
Published: (2024)
Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses
by: Xu, He-Yang, et al.
Published: (2025)
by: Xu, He-Yang, et al.
Published: (2025)
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
by: Xie, Johnathan, et al.
Published: (2024)
by: Xie, Johnathan, et al.
Published: (2024)
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting
by: Liao, Yuhua, et al.
Published: (2024)
by: Liao, Yuhua, et al.
Published: (2024)
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)
by: Yu, Chenyang, et al.
Published: (2025)
Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)
by: Jain, Yash, et al.
Published: (2025)
AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models
by: Lee, Jaeho, et al.
Published: (2025)
by: Lee, Jaeho, et al.
Published: (2025)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)
by: Liu, Aoyu, et al.
Published: (2022)
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
by: Liu, Ran, et al.
Published: (2023)
by: Liu, Ran, et al.
Published: (2023)
Similar Items
-
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
by: Yeh, Chin-Chia Michael, et al.
Published: (2025) -
Empowering Time Series Forecasting with LLM-Agents
by: Yeh, Chin-Chia Michael, et al.
Published: (2025) -
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
by: Yeh, Chin-Chia Michael, et al.
Published: (2024) -
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025) -
Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
by: Zhou, Ya, et al.
Published: (2025)