Summary of Warped Time Series Anomaly Detection, by Charlotte Lacoquelle et al.
Warped Time Series Anomaly Detectionby Charlotte Lacoquelle, Xavier Pucel, Louise Travé-Massuyès, Axel Reymonet, Benoît EnauxFirst…
Summary of Sgru: a High-performance Structured Gated Recurrent Unit For Traffic Flow Prediction, by Wenfeng Zhang et al.
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Predictionby Wenfeng Zhang, Xin Li,…
Summary of Toward Short-term Glucose Prediction Solely Based on Cgm Time Series, by Ming Cheng et al.
Toward Short-Term Glucose Prediction Solely Based on CGM Time Seriesby Ming Cheng, Xingjian Diao, Ziyi…
Summary of Exploring the Role Of Token in Transformer-based Time Series Forecasting, by Jianqi Zhang et al.
Exploring the Role of Token in Transformer-based Time Series Forecastingby Jianqi Zhang, Jingyao Wang, Chuxiong…
Summary of Prompting For Numerical Sequences: a Case Study on Market Comment Generation, by Masayuki Kawarada et al.
Prompting for Numerical Sequences: A Case Study on Market Comment Generationby Masayuki Kawarada, Tatsuya Ishigaki,…
Summary of D-pad: Deep-shallow Multi-frequency Patterns Disentangling For Time Series Forecasting, by Xiaobing Yuan and Ling Chen
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecastingby Xiaobing Yuan, Ling ChenFirst submitted to…
Summary of L-mae: Longitudinal Masked Auto-encoder with Time and Severity-aware Encoding For Diabetic Retinopathy Progression Prediction, by Rachid Zeghlache et al.
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression predictionby Rachid…
Summary of Lamper: Language Model and Prompt Engineering For Zero-shot Time Series Classification, by Zhicheng Du et al.
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classificationby Zhicheng Du, Zhaotian Xie,…
Summary of Enhancing Bandwidth Efficiency For Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction, by Xue Bai et al.
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Predictionby Xue…
Summary of From Pixels to Predictions: Spectrogram and Vision Transformer For Better Time Series Forecasting, by Zhen Zeng et al.
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecastingby Zhen Zeng,…