Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

24 May 2025

Papers citing "Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting"

21 / 21 papers shown

Title
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem Katherine Tieu Dongqi Fu Jun Wu Jingrui He OOD OODD CML 23 2 0 30 May 2025
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng Ruizhong Qiu Wenxuan Bao Tianxin Wei Xiao Lin Yuchen Yan Tarek Abdelzaher Jiawei Han Hanghang Tong OOD AI4CE 61 1 0 19 May 2025
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification Xiao Lin Zhichen Zeng Tianxin Wei Zhining Liu Yuzhong Chen Hanghang Tong AI4TS 61 2 0 05 Apr 2025
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark Ruizhong Qiu Weiliang Will Zeng Hanghang Tong James Ezick Christopher Lott 132 19 0 20 Feb 2025
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative Zihao Li Xiao Lin Zhining Liu Jiaru Zou Ziwei Wu ... Dongqi Fu Yada Zhu Hendrik Hamann Hanghang Tong Jingrui He AI4TS 67 6 0 13 Feb 2025
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection Dongqi Fu Yada Zhu Hanghang Tong Kommy Weldemariam Onkar Bhardwaj Jingrui He AI4TS 30 7 0 08 Aug 2024
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu Hanghang Tong 69 5 0 27 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 66 22 0 30 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 64 8 0 19 Mar 2024
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jing Dawei Zhou Kan Ren Carl Yang CML AI4TS 62 9 0 18 Mar 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond Tianxin Wei Bowen Jin Ruirui Li Hansi Zeng Zhengyang Wang ... Qingyu Yin Hanqing Lu Suhang Wang Jingrui He Xianfeng Tang 64 20 0 15 Mar 2024
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 75 140 0 10 Nov 2023
Ensuring User-side Fairness in Dynamic Recommender Systems Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Fei Wang Charlie Xu Eunice Chan Hanghang Tong 56 16 0 29 Aug 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 61 29 0 29 May 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 106 756 0 05 Oct 2022
Retrieval Based Time Series Forecasting Baoyu Jing Si Zhang Yada Zhu B. Peng K. Guan A. Margenot Hanghang Tong AI4TS 74 11 0 27 Sep 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 32 66 0 14 Feb 2022
IMBENS: Ensemble Class-imbalanced Learning in Python Zhining Liu Q. Huang Hangting Ye Yi Chang 13 10 0 24 Nov 2021
An Empirical Evaluation of Time-Series Feature Sets Trent Henderson Ben D. Fulcher AI4TS 29 17 0 21 Oct 2021
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark J. Lago Grzegorz Marcjasz B. de Schutter R. Weron AI4TS 34 308 0 18 Aug 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 256 42,038 0 03 Dec 2019