Beyond Attention: True Adaptive World Models via Spherical Kernel Operator
Fuente:
arXiv
Saved in:
| Main Author: | Khasia, Vladimer |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HAS-VQ: Hessian-Adaptive Sparse Vector Quantization for High-Fidelity LLM Compression
by: Khasia, Vladimer
Published: (2026)
by: Khasia, Vladimer
Published: (2026)
The Adaptive Vekua Cascade: A Differentiable Spectral-Analytic Solver for Physics-Informed Representation
by: Khasia, Vladimer
Published: (2025)
by: Khasia, Vladimer
Published: (2025)
Dynamic Subspace Composition: Efficient Adaptation via Contractive Basis Expansion
by: Khasia, Vladimer
Published: (2025)
by: Khasia, Vladimer
Published: (2025)
The Vekua Layer: Exact Physical Priors for Implicit Neural Representations via Generalized Analytic Functions
by: Khasia, Vladimer
Published: (2025)
by: Khasia, Vladimer
Published: (2025)
HoloByte: Continuous Hyperspherical Distillation for Tokenizer-Free Modeling
by: Khasia, Vladimer
Published: (2026)
by: Khasia, Vladimer
Published: (2026)
Hybrid Dual-Path Linear Transformations for Efficient Transformer Architectures
by: Khasia, Vladimer
Published: (2026)
by: Khasia, Vladimer
Published: (2026)
BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation"
by: Khasia, Vladimer
Published: (2026)
by: Khasia, Vladimer
Published: (2026)
Spectral-Window Hybrid (SWH)
by: Khasia, Vladimer
Published: (2026)
by: Khasia, Vladimer
Published: (2026)
DeepVekua: Geometric-Spectral Representation Learning for Physics-Informed Fields
by: Khasia, Vladimer
Published: (2025)
by: Khasia, Vladimer
Published: (2025)
Primal: A Unified Deterministic Framework for Quasi-Orthogonal Hashing and Manifold Learning
by: Khasia, Vladimer
Published: (2025)
by: Khasia, Vladimer
Published: (2025)
SLAY: Geometry-Aware Spherical Linearized Attention with Yat-Kernel
by: Luna, Jose Miguel, et al.
Published: (2026)
by: Luna, Jose Miguel, et al.
Published: (2026)
Probability-Generating Function Kernels for Spherical Data
by: Papamarkou, Theodore, et al.
Published: (2021)
by: Papamarkou, Theodore, et al.
Published: (2021)
New Bounds for Kernel Sums via Fast Spherical Embeddings
by: Wagner, Tal
Published: (2026)
by: Wagner, Tal
Published: (2026)
Neural Operators for Biomedical Spherical Heterogeneity
by: Tang, Hao, et al.
Published: (2026)
by: Tang, Hao, et al.
Published: (2026)
Projection-Free Transformers via Gaussian Kernel Attention
by: Kundu, Debarshi, et al.
Published: (2026)
by: Kundu, Debarshi, et al.
Published: (2026)
Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator
by: Mansouri, Reza, et al.
Published: (2025)
by: Mansouri, Reza, et al.
Published: (2025)
Attention in Geometry: Scalable Spatial Modeling via Adaptive Density Fields and FAISS-Accelerated Kernels
by: Fan, Zhaowen
Published: (2026)
by: Fan, Zhaowen
Published: (2026)
Solving Attention Kernel Regression Problem via Pre-conditioner
by: Song, Zhao, et al.
Published: (2023)
by: Song, Zhao, et al.
Published: (2023)
Generalized Spherical Neural Operators: Green's Function Formulation
by: Tang, Hao, et al.
Published: (2025)
by: Tang, Hao, et al.
Published: (2025)
Beyond Cross-Validation: Adaptive Parameter Selection for Kernel-Based Gradient Descents
by: Liu, Xiaotong, et al.
Published: (2026)
by: Liu, Xiaotong, et al.
Published: (2026)
Beyond Similarity: Temporal Operator Attention for Time Series Analysis
by: Twitty, Jevon, et al.
Published: (2026)
by: Twitty, Jevon, et al.
Published: (2026)
Sparse Attention as Compact Kernel Regression
by: Santos, Saul, et al.
Published: (2026)
by: Santos, Saul, et al.
Published: (2026)
Random Features for Operator-Valued Kernels: Bridging Kernel Methods and Neural Operators
by: Nguyen, Mike, et al.
Published: (2026)
by: Nguyen, Mike, et al.
Published: (2026)
FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing
by: Du, Junye, et al.
Published: (2026)
by: Du, Junye, et al.
Published: (2026)
Flex Attention: A Programming Model for Generating Optimized Attention Kernels
by: Dong, Juechu, et al.
Published: (2024)
by: Dong, Juechu, et al.
Published: (2024)
Adaptive Kernel Selection for Kernelized Diffusion Maps
by: Aboussaad, Othmane, et al.
Published: (2026)
by: Aboussaad, Othmane, et al.
Published: (2026)
IKNO: Infinite-order Kernel Neural Operators
by: Zhu, Pengyuan, et al.
Published: (2026)
by: Zhu, Pengyuan, et al.
Published: (2026)
Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator
by: Mansouri, Reza, et al.
Published: (2025)
by: Mansouri, Reza, et al.
Published: (2025)
Diagonal Over-parameterization in Reproducing Kernel Hilbert Spaces as an Adaptive Feature Model: Generalization and Adaptivity
by: Li, Yicheng, et al.
Published: (2025)
by: Li, Yicheng, et al.
Published: (2025)
AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
by: Zhang, Zhongyue, et al.
Published: (2026)
by: Zhang, Zhongyue, et al.
Published: (2026)
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
by: Waghmare, Govind, et al.
Published: (2026)
by: Waghmare, Govind, et al.
Published: (2026)
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
by: Ke, Yekun, et al.
Published: (2024)
by: Ke, Yekun, et al.
Published: (2024)
Locally Adaptive Conformal Inference for Operator Models
by: Harris, Trevor, et al.
Published: (2025)
by: Harris, Trevor, et al.
Published: (2025)
SOCKET: SOft Collision Kernel EsTimator for Sparse Attention
by: Joshi, Sahil, et al.
Published: (2026)
by: Joshi, Sahil, et al.
Published: (2026)
DyKen-Hyena: Dynamic Kernel Generation via Cross-Modal Attention for Multimodal Intent Recognition
by: Wang, Yifei, et al.
Published: (2025)
by: Wang, Yifei, et al.
Published: (2025)
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
by: Huang, Siyuan, et al.
Published: (2024)
by: Huang, Siyuan, et al.
Published: (2024)
Beyond Language Models: Byte Models are Digital World Simulators
by: Wu, Shangda, et al.
Published: (2024)
by: Wu, Shangda, et al.
Published: (2024)
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
by: Koren, Noam, et al.
Published: (2025)
by: Koren, Noam, et al.
Published: (2025)
Operator World Models for Reinforcement Learning
by: Novelli, Pietro, et al.
Published: (2024)
by: Novelli, Pietro, et al.
Published: (2024)
Learning Local Causal World Models with State Space Models and Attention
by: Petri, Francesco, et al.
Published: (2025)
by: Petri, Francesco, et al.
Published: (2025)
Similar Items
-
HAS-VQ: Hessian-Adaptive Sparse Vector Quantization for High-Fidelity LLM Compression
by: Khasia, Vladimer
Published: (2026) -
The Adaptive Vekua Cascade: A Differentiable Spectral-Analytic Solver for Physics-Informed Representation
by: Khasia, Vladimer
Published: (2025) -
Dynamic Subspace Composition: Efficient Adaptation via Contractive Basis Expansion
by: Khasia, Vladimer
Published: (2025) -
The Vekua Layer: Exact Physical Priors for Implicit Neural Representations via Generalized Analytic Functions
by: Khasia, Vladimer
Published: (2025) -
HoloByte: Continuous Hyperspherical Distillation for Tokenizer-Free Modeling
by: Khasia, Vladimer
Published: (2026)