Summary of Time-moe: Billion-scale Time Series Foundation Models with Mixture Of Experts, by Xiaoming Shi et al.
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Expertsby Xiaoming Shi, Shiyu Wang, Yuqi…
Summary of Double-path Adaptive-correlation Spatial-temporal Inverted Transformer For Stock Time Series Forecasting, by Wenbo Yan and Ying Tan
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecastingby Wenbo Yan, Ying TanFirst submitted…
Summary of Fine-tuning a Time Series Foundation Model with Wasserstein Loss, by Andrei Chernov
Fine-Tuning a Time Series Foundation Model with Wasserstein Lossby Andrei ChernovFirst submitted to arxiv on:…
Summary of Motifdisco: Motif Causal Discovery For Time Series Motifs, by Josephine Lamp et al.
MotifDisco: Motif Causal Discovery For Time Series Motifsby Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Sam…
Summary of Implicit Dynamical Flow Fusion (idff) For Generative Modeling, by Mohammad R. Rezaei et al.
Implicit Dynamical Flow Fusion (IDFF) for Generative Modelingby Mohammad R. Rezaei, Rahul G. Krishnan, Milos…
Summary of Refine: Boosting Time Series Prediction Of Extreme Events by Reweighting and Fine-tuning, By Jimeng Shi et al.
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuningby Jimeng Shi, Azam…
Summary of Transforming Multidimensional Time Series Into Interpretable Event Sequences For Advanced Data Mining, by Xu Yan et al.
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Miningby Xu Yan, Yaoting…
Summary of Test Time Learning For Time Series Forecasting, by Panayiotis Christou et al.
Test Time Learning for Time Series Forecastingby Panayiotis Christou, Shichu Chen, Xupeng Chen, Parijat DubeFirst…
Summary of Chronogan: Supervised and Embedded Generative Adversarial Networks For Time Series Generation, by Mohammadreza Eskandarinasab et al.
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generationby MohammadReza EskandariNasab, Shah Muhammad…
Summary of Wormhole: Concept-aware Deep Representation Learning For Co-evolving Sequences, by Kunpeng Xu et al.
Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequencesby Kunpeng Xu, Lifei Chen, Shengrui WangFirst submitted…