HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context
Fuente:
arXiv
Saved in:
| Main Authors: | Joseph, Federico Arangath, Haefeli, Kilian Konstantin, Liniger, Noah, Gulcehre, Caglar |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
by: Goffinet, Jack, et al.
Published: (2026)
by: Goffinet, Jack, et al.
Published: (2026)
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models
by: Park, Jaesung R., et al.
Published: (2024)
by: Park, Jaesung R., et al.
Published: (2024)
HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
by: Xuan, Junyu, et al.
Published: (2025)
by: Xuan, Junyu, et al.
Published: (2025)
HiPPO-KAN: Efficient KAN Model for Time Series Analysis
by: Lee, SangJong, et al.
Published: (2024)
by: Lee, SangJong, et al.
Published: (2024)
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
by: De Santi, Riccardo, et al.
Published: (2024)
by: De Santi, Riccardo, et al.
Published: (2024)
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
by: Moalla, Skander, et al.
Published: (2024)
by: Moalla, Skander, et al.
Published: (2024)
BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers
by: Deschenaux, Justin, et al.
Published: (2026)
by: Deschenaux, Justin, et al.
Published: (2026)
UnHiPPO: Uncertainty-aware Initialization for State Space Models
by: Lienen, Marten, et al.
Published: (2025)
by: Lienen, Marten, et al.
Published: (2025)
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
by: Terekhov, Mikhail, et al.
Published: (2024)
by: Terekhov, Mikhail, et al.
Published: (2024)
Augmenting Attention with Exponentially Decaying Memory Improves Query-Aware KV Sparsity
by: Wei, Xiuying, et al.
Published: (2026)
by: Wei, Xiuying, et al.
Published: (2026)
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference
by: Wei, Xiuying, et al.
Published: (2026)
by: Wei, Xiuying, et al.
Published: (2026)
Partition Generative Modeling: Masked Modeling Without Masks
by: Deschenaux, Justin, et al.
Published: (2025)
by: Deschenaux, Justin, et al.
Published: (2025)
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
by: Deschenaux, Justin, et al.
Published: (2024)
by: Deschenaux, Justin, et al.
Published: (2024)
The Role of Deep Learning Regularizations on Actors in Offline RL
by: Tarasov, Denis, et al.
Published: (2024)
by: Tarasov, Denis, et al.
Published: (2024)
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
by: Matrenok, Simon, et al.
Published: (2025)
by: Matrenok, Simon, et al.
Published: (2025)
The Diffusion Duality, Chapter II: $Ψ$-Samplers
by: Deschenaux, Justin, et al.
Published: (2026)
by: Deschenaux, Justin, et al.
Published: (2026)
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
by: Joseph, Federico Arangath, et al.
Published: (2024)
by: Joseph, Federico Arangath, et al.
Published: (2024)
State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
by: Nishikawa, Naoki, et al.
Published: (2024)
by: Nishikawa, Naoki, et al.
Published: (2024)
HiPPO: Exploring A Novel Hierarchical Pronunciation Assessment Approach for Spoken Languages
by: Yan, Bi-Cheng, et al.
Published: (2025)
by: Yan, Bi-Cheng, et al.
Published: (2025)
Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
by: Jo, Mingyu, et al.
Published: (2025)
by: Jo, Mingyu, et al.
Published: (2025)
From Markov to Laplace: How Mamba In-Context Learns Markov Chains
by: Bondaschi, Marco, et al.
Published: (2025)
by: Bondaschi, Marco, et al.
Published: (2025)
Simple Hierarchical Planning with Diffusion
by: Chen, Chang, et al.
Published: (2024)
by: Chen, Chang, et al.
Published: (2024)
Control Tax: The Price of Keeping AI in Check
by: Terekhov, Mikhail, et al.
Published: (2025)
by: Terekhov, Mikhail, et al.
Published: (2025)
Learning to Dissipate Energy in Oscillatory State-Space Models
by: Boyer, Jared, et al.
Published: (2025)
by: Boyer, Jared, et al.
Published: (2025)
Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards
by: Karzanov, Daniil, et al.
Published: (2025)
by: Karzanov, Daniil, et al.
Published: (2025)
Self-Recognition in Language Models
by: Davidson, Tim R., et al.
Published: (2024)
by: Davidson, Tim R., et al.
Published: (2024)
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
by: Orvieto, Antonio, et al.
Published: (2023)
by: Orvieto, Antonio, et al.
Published: (2023)
Oscillatory State-Space Models
by: Rusch, T. Konstantin, et al.
Published: (2024)
by: Rusch, T. Konstantin, et al.
Published: (2024)
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
by: Chen, Chang, et al.
Published: (2024)
by: Chen, Chang, et al.
Published: (2024)
t-SNE Exaggerates Clusters, Provably
by: Bergam, Noah, et al.
Published: (2025)
by: Bergam, Noah, et al.
Published: (2025)
Provable In-Context Learning of Nonlinear Regression with Transformers
by: Li, Hongbo, et al.
Published: (2025)
by: Li, Hongbo, et al.
Published: (2025)
Towards Provable Emergence of In-Context Reinforcement Learning
by: Wang, Jiuqi, et al.
Published: (2025)
by: Wang, Jiuqi, et al.
Published: (2025)
Fleet of Agents: Coordinated Problem Solving with Large Language Models
by: Klein, Lars, et al.
Published: (2024)
by: Klein, Lars, et al.
Published: (2024)
Provable Low-Frequency Bias of In-Context Learning of Representations
by: Yang, Yongyi, et al.
Published: (2025)
by: Yang, Yongyi, et al.
Published: (2025)
Prophecy: Inferring Formal Properties from Neuron Activations
by: Gopinath, Divya, et al.
Published: (2025)
by: Gopinath, Divya, et al.
Published: (2025)
Provably Learning from Modern Language Models via Low Logit Rank
by: Golowich, Noah, et al.
Published: (2025)
by: Golowich, Noah, et al.
Published: (2025)
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
by: Liu, Renpu, et al.
Published: (2026)
by: Liu, Renpu, et al.
Published: (2026)
Provable Benefits of Complex Parameterizations for Structured State Space Models
by: Ran-Milo, Yuval, et al.
Published: (2024)
by: Ran-Milo, Yuval, et al.
Published: (2024)
Hi-DARTS: Hierarchical Dynamically Adapting Reinforcement Trading System
by: Sagong, Hoon, et al.
Published: (2025)
by: Sagong, Hoon, et al.
Published: (2025)
Directional-Clamp PPO
by: Karpel, Gilad, et al.
Published: (2025)
by: Karpel, Gilad, et al.
Published: (2025)
Similar Items
-
HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
by: Goffinet, Jack, et al.
Published: (2026) -
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models
by: Park, Jaesung R., et al.
Published: (2024) -
HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
by: Xuan, Junyu, et al.
Published: (2025) -
HiPPO-KAN: Efficient KAN Model for Time Series Analysis
by: Lee, SangJong, et al.
Published: (2024) -
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
by: De Santi, Riccardo, et al.
Published: (2024)