Saved in:
| Main Authors: | Bendi-Ouis, Yannis, Hinaut, Xavier |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.02917 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deploying Open-Source Large Language Models: A performance Analysis
by: Bendi-Ouis, Yannis, et al.
Published: (2024)
by: Bendi-Ouis, Yannis, et al.
Published: (2024)
CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
by: Boraud, Virgile, et al.
Published: (2025)
by: Boraud, Virgile, et al.
Published: (2025)
Linear Reservoir: A Diagonalization-Based Optimization
by: de Coudenhove, Romain, et al.
Published: (2026)
by: de Coudenhove, Romain, et al.
Published: (2026)
Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026)
by: Testu, Julien, et al.
Published: (2026)
TART: Token-based Architecture Transformer for Neural Network Performance Prediction
by: He, Yannis Y.
Published: (2025)
by: He, Yannis Y.
Published: (2025)
Evolving Reservoirs for Meta Reinforcement Learning
by: Léger, Corentin, et al.
Published: (2023)
by: Léger, Corentin, et al.
Published: (2023)
Modeling Biological Multifunctionality with Echo State Networks
by: Leventi-Peetz, Anastasia-Maria, et al.
Published: (2025)
by: Leventi-Peetz, Anastasia-Maria, et al.
Published: (2025)
LOOKAT: Lookup-Optimized Key-Attention for Memory-Efficient Transformers
by: Karmore, Aryan
Published: (2026)
by: Karmore, Aryan
Published: (2026)
QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention
by: Oh, Sehyeon, et al.
Published: (2026)
by: Oh, Sehyeon, et al.
Published: (2026)
EchoRL: Reinforcement Learning via Rollout Echoing
by: Bi, Jinhe, et al.
Published: (2026)
by: Bi, Jinhe, et al.
Published: (2026)
Echo: A Large Language Model with Temporal Episodic Memory
by: Liu, WenTao, et al.
Published: (2025)
by: Liu, WenTao, et al.
Published: (2025)
MeSH: Memory-as-State-Highways for Recursive Transformers
by: Yu, Chengting, et al.
Published: (2025)
by: Yu, Chengting, et al.
Published: (2025)
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
by: Deiseroth, Björn, et al.
Published: (2023)
by: Deiseroth, Björn, et al.
Published: (2023)
Centrality-Based Pruning for Efficient Echo State Networks
by: Laudari, Sudip
Published: (2026)
by: Laudari, Sudip
Published: (2026)
Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
by: Bu, Rui, et al.
Published: (2025)
by: Bu, Rui, et al.
Published: (2025)
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
by: Esmati, Parsa, et al.
Published: (2024)
by: Esmati, Parsa, et al.
Published: (2024)
Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation
by: Ghoshal, Soudeep, et al.
Published: (2026)
by: Ghoshal, Soudeep, et al.
Published: (2026)
CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
by: Minelli, Giovanni, et al.
Published: (2025)
by: Minelli, Giovanni, et al.
Published: (2025)
Adaptive Memory Decay for Log-Linear Attention
by: Amin, Yaxita, et al.
Published: (2026)
by: Amin, Yaxita, et al.
Published: (2026)
Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs
by: Galesloot, Maris F. L., et al.
Published: (2025)
by: Galesloot, Maris F. L., et al.
Published: (2025)
Less is More: on the Over-Globalizing Problem in Graph Transformers
by: Xing, Yujie, et al.
Published: (2024)
by: Xing, Yujie, et al.
Published: (2024)
Recurrent Action Transformer with Memory
by: Cherepanov, Egor, et al.
Published: (2023)
by: Cherepanov, Egor, et al.
Published: (2023)
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation
by: Wang, Yuda, et al.
Published: (2024)
by: Wang, Yuda, et al.
Published: (2024)
The Bayesian Geometry of Transformer Attention
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training
by: Mistry, Deven Mahesh, et al.
Published: (2025)
by: Mistry, Deven Mahesh, et al.
Published: (2025)
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
by: Kimura, Daichi, et al.
Published: (2025)
by: Kimura, Daichi, et al.
Published: (2025)
Geometric Attention: A Regime-Explicit Operator Semantics for Transformer Attention
by: Freytes, Luis Rosario
Published: (2026)
by: Freytes, Luis Rosario
Published: (2026)
MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning
by: Liu, Dong, et al.
Published: (2026)
by: Liu, Dong, et al.
Published: (2026)
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs
by: Wu, Lili, et al.
Published: (2024)
by: Wu, Lili, et al.
Published: (2024)
Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers
by: Saxena, Krati, et al.
Published: (2025)
by: Saxena, Krati, et al.
Published: (2025)
Understanding Transformer from the Perspective of Associative Memory
by: Zhong, Shu, et al.
Published: (2025)
by: Zhong, Shu, et al.
Published: (2025)
Empirical Investigation into Configuring Echo State Networks for Representative Benchmark Problem Domains
by: Weborg, Brooke R., et al.
Published: (2025)
by: Weborg, Brooke R., et al.
Published: (2025)
Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
by: Racioppo, Peter
Published: (2025)
by: Racioppo, Peter
Published: (2025)
Unveiling and Controlling Anomalous Attention Distribution in Transformers
by: Yan, Ruiqing, et al.
Published: (2024)
by: Yan, Ruiqing, et al.
Published: (2024)
Exact Attention Sensitivity and the Geometry of Transformer Stability
by: Emadi, Seyed Morteza
Published: (2026)
by: Emadi, Seyed Morteza
Published: (2026)
Graph Convolutions Enrich the Self-Attention in Transformers!
by: Choi, Jeongwhan, et al.
Published: (2023)
by: Choi, Jeongwhan, et al.
Published: (2023)
Higher-Order Transformers With Kronecker-Structured Attention
by: Omranpour, Soroush, et al.
Published: (2024)
by: Omranpour, Soroush, et al.
Published: (2024)
Expanding Expressivity in Transformer Models with MöbiusAttention
by: Halacheva, Anna-Maria, et al.
Published: (2024)
by: Halacheva, Anna-Maria, et al.
Published: (2024)
Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity
by: Shih, Benjamin, et al.
Published: (2024)
by: Shih, Benjamin, et al.
Published: (2024)
Similar Items
-
Deploying Open-Source Large Language Models: A performance Analysis
by: Bendi-Ouis, Yannis, et al.
Published: (2024) -
CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026) -
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
by: Boraud, Virgile, et al.
Published: (2025) -
Linear Reservoir: A Diagonalization-Based Optimization
by: de Coudenhove, Romain, et al.
Published: (2026) -
Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026)