Image de couverture de livre

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mattes, Paul, Schlosser, Rainer, Herbrich, Ralf
Format:	Preprint
Publié:	2023
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AI, Climate, and Regulation: From Data Centers to the AI Act
par: Ebert, Kai, et autres
Publié: (2024)

AI, Climate, and Transparency: Operationalizing and Improving the AI Act
par: Alder, Nicolas, et autres
Publié: (2024)

Chimera: State Space Models Beyond Sequences
par: Lahoti, Aakash, et autres
Publié: (2025)

Mamba: Linear-Time Sequence Modeling with Selective State Spaces
par: Gu, Albert, et autres
Publié: (2023)

MambaLRP: Explaining Selective State Space Sequence Models
par: Jafari, Farnoush Rezaei, et autres
Publié: (2024)

When to Trust Imagination: Adaptive Action Execution for World Action Models
par: Wang, Rui, et autres
Publié: (2026)

DMWM: Dual-Mind World Model with Long-Term Imagination
par: Wang, Lingyi, et autres
Publié: (2025)

Imagine in Space: Exploring the Frontier of Spatial Intelligence and Reasoning Efficiency in Vision Language Models
par: Lian, Xiaoxing, et autres
Publié: (2025)

UWM-JEPA: Predictive World Models That Imagine in Belief Space
par: Radha, Santosh Kumar, et autres
Publié: (2026)

Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
par: Castanet, Nicolas, et autres
Publié: (2025)

Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
par: Wei, Yuxiang, et autres
Publié: (2024)

Sparse Imagination for Efficient Visual World Model Planning
par: Chun, Junha, et autres
Publié: (2025)

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
par: Ceni, Andrea, et autres
Publié: (2025)

Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces
par: Ota, Toshihiro
Publié: (2024)

Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models
par: Wu, Haoyang, et autres
Publié: (2025)

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity
par: Gospodinov, Emiliyan, et autres
Publié: (2024)

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
par: Röder, Frank, et autres
Publié: (2025)

FACTS: A Factored State-Space Framework For World Modelling
par: Nanbo, Li, et autres
Publié: (2024)

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
par: Wang, Chloe, et autres
Publié: (2024)

Compute-in-Memory Implementation of State Space Models for Event Sequence Processing
par: Zhang, Xiaoyu, et autres
Publié: (2025)

Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
par: Liu, Youwei, et autres
Publié: (2026)

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing
par: Meyer, Svea Marie, et autres
Publié: (2024)

Self-supervised Hierarchical Visual Reasoning with World Model
par: Xu, Yuanfei, et autres
Publié: (2026)

Offline World Models as Imagination Networks in Cognitive Agents
par: Ranjan, Saurabh, et autres
Publié: (2025)

Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
par: Garg, Anant, et autres
Publié: (2024)

Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
par: Terzić, Aleksandar, et autres
Publié: (2025)

Mamba State-Space Models Are Lyapunov-Stable Learners
par: Halloran, John T., et autres
Publié: (2024)

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
par: Wang, Jie, et autres
Publié: (2024)

Slot State Space Models
par: Jiang, Jindong, et autres
Publié: (2024)

Fast-WAM: Do World Action Models Need Test-time Future Imagination?
par: Yuan, Tianyuan, et autres
Publié: (2026)

Multilingual State Space Models for Structured Question Answering in Indic Languages
par: Vats, Arpita, et autres
Publié: (2025)

Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation
par: Lorang, Pierrick, et autres
Publié: (2025)

SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection
par: Xu, Wenhao, et autres
Publié: (2025)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
par: Meo, Cristian, et autres
Publié: (2024)

Hierarchical Behaviour Spaces
par: Matthews, Michael Tryfan, et autres
Publié: (2026)

Imagined Autocurricula
par: Güzel, Ahmet H., et autres
Publié: (2025)

Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models
par: Terzić, Aleksandar, et autres
Publié: (2026)

Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination
par: Akter, Syeda Nahida, et autres
Publié: (2024)

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning
par: Zhong, Yan, et autres
Publié: (2024)

MetaWorld-X: Hierarchical World Modeling via VLM-Orchestrated Experts for Humanoid Loco-Manipulation
par: Shen, Yutong, et autres
Publié: (2026)