Cover Image

Decentralized Time Series Classification with ROCKET Features

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Casella, Bruno, Jakobs, Matthias, Aldinucci, Marco, Buschjäger, Sebastian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence 68T07 I.2.11; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
by: Wang, Zhen, et al.
Published: (2025)

Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
by: Jing, Yuheng, et al.
Published: (2026)

Evaluation of Differential Privacy Mechanisms on Federated Learning
by: Varsani, Tejash
Published: (2025)

Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems
by: Wang, Wenyi, et al.
Published: (2024)

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement
by: Lin, Junjie, et al.
Published: (2024)

MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
by: Zamaraeva, Elena, et al.
Published: (2025)

Dynamical Priors as a Training Objective in Reinforcement Learning
by: Subaharan, Sukesh
Published: (2026)

RPRA: Predicting an LLM-Judge for Efficient but Performant Inference
by: Ashley, Dylan R., et al.
Published: (2026)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)

WorkflowGen:an adaptive workflow generation mechanism driven by trajectory experience
by: Wei, Ruocan, et al.
Published: (2026)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)

Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
by: Ravindran, Santhosh Kumar
Published: (2026)

AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence
by: Yu, Geunbin
Published: (2026)

Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)

ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
by: Mittal, Tarun
Published: (2026)

StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

A V2X-based Privacy Preserving Federated Measuring and Learning System
by: Alekszejenkó, Levente, et al.
Published: (2024)

When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)

FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)

Extending NGU to Multi-Agent RL: A Preliminary Study
by: Hernandez, Juan, et al.
Published: (2025)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026)

Partitioned Neural Network Training via Synthetic Intermediate Labels
by: Karadağ, Cevat Volkan, et al.
Published: (2024)

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)

The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
by: Patel, Khush, et al.
Published: (2026)

The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
by: Zhang, Di
Published: (2026)

Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
by: Lee, Kichang, et al.
Published: (2024)

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions
by: Alpay, Faruk, et al.
Published: (2025)

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
by: Chowdhury, Arindam, et al.
Published: (2025)

Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
by: Sharma, Alakh, et al.
Published: (2025)

Mindstorms in Natural Language-Based Societies of Mind
by: Zhuge, Mingchen, et al.
Published: (2023)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
by: Hong, Yoosung
Published: (2026)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)