Cover Image

MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xingsheng, Zhang, Regina, Gao, Bo, He, Xingwei, Liu, Xiaofeng, Lio, Pietro, Lam, Kwok-Yan, Yiu, Siu-Ming
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
by: Chen, Xingsheng, et al.
Published: (2026)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)

GeoCert: Certified Geometric AI for Reliable Forecasting
by: Zhang, Regina, et al.
Published: (2026)

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
by: Li, Zongru, et al.
Published: (2026)

Enhancing Few-Shot Stock Trend Prediction with Large Language Models
by: Deng, Yiqi, et al.
Published: (2024)

A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System
by: Guo, Jiale, et al.
Published: (2025)

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)

An Empirical Investigation of Neural ODEs and Symbolic Regression for Dynamical Systems
by: Ioannou, Panayiotis, et al.
Published: (2026)

Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
by: Zhang, Qianru, et al.
Published: (2025)

Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
by: He, Xingwei, et al.
Published: (2024)

Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement
by: Zhang, Chi, et al.
Published: (2024)

GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning
by: Na, Shijie, et al.
Published: (2024)

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation
by: Zhang, Qianru, et al.
Published: (2025)

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
by: Guo, Dongxin, et al.
Published: (2026)

Neural Bipartite Matching
by: Georgiev, Dobrik, et al.
Published: (2020)

Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)

HMamba: Hyperbolic Mamba for Sequential Recommendation
by: Zhang, Qianru, et al.
Published: (2025)

ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
by: He, Xingwei, et al.
Published: (2025)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
by: Zhang, Qianru, et al.
Published: (2024)

Efficient Pareto Manifold Learning with Low-Rank Structure
by: Chen, Weiyu, et al.
Published: (2024)

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
by: Huang, Keke, et al.
Published: (2024)

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)

SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)

DeNOTS: Stable Deep Neural ODEs for Time Series
by: Kuleshov, Ilya, et al.
Published: (2024)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
by: Tan, Zexi, et al.
Published: (2025)

Efficient Prompt Learning for Traffic Forecasting
by: Zhang, Qianru, et al.
Published: (2026)

Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction
by: Yan, Wenbo, et al.
Published: (2025)

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
by: Dang, Ting, et al.
Published: (2026)

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
by: Guo, Dongxin, et al.
Published: (2026)

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
by: Guo, Dongxin, et al.
Published: (2026)

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
by: Guo, Dongxin, et al.
Published: (2026)

RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization
by: Guo, Dongxin, et al.
Published: (2026)

Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension
by: Guo, Dongxin, et al.
Published: (2026)

Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
by: Wu, Jikun, et al.
Published: (2026)

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
by: Guo, Dongxin, et al.
Published: (2026)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
by: Guo, Dongxin, et al.
Published: (2026)

Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection
by: Guo, Dongxin, et al.
Published: (2026)

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
by: Guo, Dongxin, et al.
Published: (2026)