Summary of Abstracted Shapes As Tokens — a Generalizable and Interpretable Model For Time-series Classification, by Yunshi Wen et al.
Abstracted Shapes as Tokens – A Generalizable and Interpretable Model for Time-series Classificationby Yunshi Wen,…
Summary of Ef-llm: Energy Forecasting Llm with Ai-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection, by Zihang Qiu et al.
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…
Summary of Hound: High-order Universal Numerical Differentiator For a Parameter-free Polynomial Online Approximation, by Igor Katrichek
HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online Approximationby Igor KatrichekFirst submitted to…
Summary of Variational Neural Stochastic Differential Equations with Change Points, by Yousef El-laham et al.
Variational Neural Stochastic Differential Equations with Change Pointsby Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker…
Summary of Kan-ad: Time Series Anomaly Detection with Kolmogorov-arnold Networks, by Quan Zhou et al.
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networksby Quan Zhou, Changhua Pei, Fei Sun, Jing…
Summary of Ar-pro: Counterfactual Explanations For Anomaly Repair with Formal Properties, by Xiayan Ji et al.
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Propertiesby Xiayan Ji, Anton Xue, Eric Wong,…
Summary of Ada-mshyper: Adaptive Multi-scale Hypergraph Transformer For Time Series Forecasting, by Zongjiang Shang et al.
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecastingby Zongjiang Shang, Ling Chen, Binqing wu,…
Summary of Approximate Attention with Mlp: a Pruning Strategy For Attention-based Model in Multivariate Time Series Forecasting, by Suhan Guo et al.
Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecastingby…
Summary of In-context Fine-tuning For Time-series Foundation Models, by Abhimanyu Das et al.
In-Context Fine-Tuning for Time-Series Foundation Modelsby Abhimanyu Das, Matthew Faw, Rajat Sen, Yichen ZhouFirst submitted…
Summary of Lseattention Is All You Need For Time Series Forecasting, by Dizhen Liang
LSEAttention is All You Need for Time Series Forecastingby Dizhen LiangFirst submitted to arxiv on:…