Cover Image

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Tianyu Bell, Zhu, Mengdi, Cole, Alexa Jordyn, Wilson, Ronald, Woodard, Damon L.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Generalization via Multimodal Co-Training under Data Scarcity and Distribution Shift
by: Pan, Tianyu Bell, et al.
Published: (2025)

GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models
by: Pan, Tianyu Bell, et al.
Published: (2026)

eXpLogic: Explaining Logic Types and Patterns in DiffLogic Networks
by: Wormald, Stephen, et al.
Published: (2025)

Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
by: Yu, En, et al.
Published: (2023)

FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments
by: Mavromatis, Ioannis, et al.
Published: (2024)

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
by: Piaseczny, Adam, et al.
Published: (2025)

Online Drift Detection with Maximum Concept Discrepancy
by: Wan, Ke, et al.
Published: (2024)

Online Detection of Water Contamination Under Concept Drift
by: Li, Jin, et al.
Published: (2025)

Explaining Concept Drift through the Evolution of Group Counterfactuals
by: Stępka, Ignacy, et al.
Published: (2025)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)

Mamba State-Space Models Are Lyapunov-Stable Learners
by: Halloran, John T., et al.
Published: (2024)

CORAL: Concept Drift Representation Learning for Co-evolving Time-series
by: Xu, Kunpeng, et al.
Published: (2025)

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
by: Zhang, Yiqun, et al.
Published: (2026)

Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment
by: Ashrafee, Alif, et al.
Published: (2025)

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures
by: Yin, Ming, et al.
Published: (2025)

Generalized Incremental Learning under Concept Drift across Evolving Data Streams
by: Yu, En, et al.
Published: (2025)

WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
by: Xu, Kunpeng, et al.
Published: (2024)

Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
by: Greco, Salvatore, et al.
Published: (2024)

Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model
by: Fear, Rio Alexa, et al.
Published: (2025)

SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths
by: Huang, Kaixuan, et al.
Published: (2024)

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)

Optimized Deep Learning Models for Malware Detection under Concept Drift
by: Maillet, William, et al.
Published: (2023)

A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models
by: Wang, Wenkai, et al.
Published: (2025)

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)

APPA: Adaptive Preference Pluralistic Alignment for Fair Federated RLHF of LLMs
by: Srewa, Mahmoud, et al.
Published: (2026)

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
by: Chen, Zhaorun, et al.
Published: (2025)

Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
by: Senol, Ali, et al.
Published: (2025)

Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)

DriftXpress: Faster Drifting Models via Projected RKHS Fields
by: Falahati, Ali, et al.
Published: (2026)

Drift Flow Matching
by: Ma, Chenrui, et al.
Published: (2026)

Drift Q-Learning
by: Houssaini, Anas, et al.
Published: (2026)

Deep Learning-Driven Malware Classification with API Call Sequence Analysis and Concept Drift Handling
by: Gond, Bishwajit Prasad, et al.
Published: (2025)

Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)

Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
by: Punyamoorty, Vineet, et al.
Published: (2024)

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
by: Sun, Wenju, et al.
Published: (2025)

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
by: Hou, Yunlong, et al.
Published: (2025)

G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
by: Ranjan, Ravi, et al.
Published: (2026)

Not All Latent Spaces Are Flat: Hyperbolic Concept Control
by: Briglia, Maria Rosaria, et al.
Published: (2026)

Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)

CoPRIS: Efficient and Stable Reinforcement Learning via Concurrency-Controlled Partial Rollout with Importance Sampling
by: Qu, Zekai, et al.
Published: (2025)