Cover Image

MiCA: A Mobility-Informed Causal Adapter for Lightweight Epidemic Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Suhan, Deng, Jiahong, Shen, Furao
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
by: Guo, Suhan, et al.
Published: (2025)

Estimating the treatment effect over time under general interference through deep learner integrated TMLE
by: Guo, Suhan, et al.
Published: (2024)

T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
by: Guo, Suhan, et al.
Published: (2026)

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning
by: Rüdiger, Sten, et al.
Published: (2026)

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
by: Li, Feifei, et al.
Published: (2024)

Bitcoin MiCA Whitepaper
by: Ibañez, Juan Ignacio, et al.
Published: (2024)

SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models
by: Guo, Suhan, et al.
Published: (2025)

RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
by: Guo, Suhan, et al.
Published: (2024)

CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
by: Xian, Xiaole, et al.
Published: (2024)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
by: Nguyen, Thang, et al.
Published: (2024)

H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
by: Luo, Xueting, et al.
Published: (2025)

ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks
by: Mu, Xinyu, et al.
Published: (2025)

Region-Guided Attack on the Segment Anything Model (SAM)
by: Liu, Xiaoliang, et al.
Published: (2024)

SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting
by: Lyu, Ruiqi, et al.
Published: (2026)

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
by: Nguyen, Duong, et al.
Published: (2026)

Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)

Physics-inspired Energy Transition Neural Network for Sequence Learning
by: Wu, Zhou, et al.
Published: (2025)

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)

Spatio-temporal Causal Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2024)

AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters
by: Dwivedi, Kaushik, et al.
Published: (2025)

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
by: Sun, Haotian, et al.
Published: (2024)

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
by: Quan, Dou, et al.
Published: (2025)

When Dynamic Data Selection Meets Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2026)

Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)

EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
by: Panja, Madhurima, et al.
Published: (2026)

Epi$^2$-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
by: Sun, Rui, et al.
Published: (2025)

SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and Policy Evaluation
by: Wang, Haochun, et al.
Published: (2026)

Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning
by: Tsai, Fang-Duo, et al.
Published: (2024)

EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
by: Gong, Chenghua, et al.
Published: (2025)

Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training
by: Yang, Suorong, et al.
Published: (2026)

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
by: Yi, Huiyu, et al.
Published: (2026)

SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
by: Shen, ChengAo, et al.
Published: (2025)

Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
by: Tong, Lei, et al.
Published: (2025)

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation
by: Yang, Kai, et al.
Published: (2026)

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting
by: Ma, Jiaming, et al.
Published: (2025)

A Lightweight Multi-View Approach to Short-Term Load Forecasting
by: Guité-Vinet, Julien, et al.
Published: (2026)

Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs
by: Pepper, Keenan, et al.
Published: (2026)

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
by: Kumar, Arun, et al.
Published: (2026)

Sparse Adapter Fusion for Continual Learning in NLP
by: Zeng, Min, et al.
Published: (2026)