:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Racioppo, Peter
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2605.11007
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
par: Racioppo, Peter
Publié: (2025)

Equivariant Spherical Transformer for Efficient Molecular Modeling
par: An, Junyi, et autres
Publié: (2025)

AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics
par: Racioppo, Peter
Publié: (2026)

SparseSwin: Swin Transformer with Sparse Transformer Block
par: Pinasthika, Krisna, et autres
Publié: (2023)

BlockCert: Certified Blockwise Extraction of Transformer Mechanisms
par: Andric, Sandro
Publié: (2025)

Transformer Block Coupling and its Correlation with Generalization in LLMs
par: Aubry, Murdock, et autres
Publié: (2024)

Block-Recurrent Dynamics in Vision Transformers
par: Jacobs, Mozes, et autres
Publié: (2025)

OrthoFormer: Instrumental Variable Estimation in Transformer Hidden States via Neural Control Functions
par: Luo, Charles
Publié: (2026)

Block Transformer: Global-to-Local Language Modeling for Fast Inference
par: Ho, Namgyu, et autres
Publié: (2024)

The Belief State Transformer
par: Hu, Edward S., et autres
Publié: (2024)

Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
par: Kweon, Young-Seok, et autres
Publié: (2025)

Relational Preference Encoding in Looped Transformer Internal States
par: Kirin, Jan
Publié: (2026)

MeSH: Memory-as-State-Highways for Recursive Transformers
par: Yu, Chengting, et autres
Publié: (2025)

On the Role of Hidden States of Modern Hopfield Network in Transformer
par: Masumura, Tsubasa, et autres
Publié: (2025)

Echo State Transformer: Attention Over Finite Memories
par: Bendi-Ouis, Yannis, et autres
Publié: (2025)

Spatial Transformers for Radio Map Estimation
par: Viet, Pham Q., et autres
Publié: (2024)

Circuits, Features, and Heuristics in Molecular Transformers
par: Varadi, Kristof, et autres
Publié: (2025)

ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization
par: Shopkhoev, Dmitriy, et autres
Publié: (2025)

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
par: Li, He, et autres
Publié: (2025)

Conformal Transformations for Symmetric Power Transformers
par: Kumar, Saurabh, et autres
Publié: (2025)

Predicting Human Brain States with Transformer
par: Sun, Yifei, et autres
Publié: (2024)

SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
par: Li, Xuewei, et autres
Publié: (2023)

Scale-Consistent State-Space Dynamics via Fractal of Stationary Transformations
par: Yu, Geunhyeok, et autres
Publié: (2026)

Priming: Hybrid State Space Models From Pre-trained Transformers
par: Chattopadhyay, Aditya, et autres
Publié: (2026)

Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
par: Bu, Rui, et autres
Publié: (2025)

SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
par: Esmati, Parsa, et autres
Publié: (2024)

Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers
par: Teja, Bogireddy Sai Prasanna, et autres
Publié: (2025)

ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
par: Sauter, Andreas, et autres
Publié: (2025)

TOAST: Transformer Optimization using Adaptive and Simple Transformations
par: Cannistraci, Irene, et autres
Publié: (2024)

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
par: Hu, Jerry Yao-Chieh, et autres
Publié: (2024)

An Introduction to Transformers
par: Turner, Richard E.
Publié: (2023)

Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
par: Zhang, Zhiyang, et autres
Publié: (2025)

Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
par: Liao, Brian Hsuan-Cheng, et autres
Publié: (2022)

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
par: Xiao, Xiangjie, et autres
Publié: (2026)

FOAM: Blocked State Folding for Memory-Efficient LLM Training
par: Wen, Ziqing, et autres
Publié: (2025)

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
par: Pathak, Rajdeep, et autres
Publié: (2026)

Transformer Is Inherently a Causal Learner
par: Wang, Xinyue, et autres
Publié: (2026)

Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation
par: Chun, Yongchan, et autres
Publié: (2026)

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity
par: Thapaliya, Bishal, et autres
Publié: (2025)

EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy Forecasting
par: Li, Wei, et autres
Publié: (2025)