Cover Image

HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Basu, Abhinaba
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Delay Embedding Theory of Neural Sequence Models
by: Ostrow, Mitchell, et al.
Published: (2024)

Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
by: Liao, Jing-Xiao, et al.
Published: (2022)

Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
by: Greenberg, Ido, et al.
Published: (2025)

Learning Long Sequences in Spiking Neural Networks
by: Stan, Matei Ioan, et al.
Published: (2023)

Long-Sequence LSTM Modeling for NBA Game Outcome Prediction Using a Novel Multi-Season Dataset
by: Rios, Charles, et al.
Published: (2025)

Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms
by: Stanton, Samuel, et al.
Published: (2024)

Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution
by: Wang, Zhenwei, et al.
Published: (2025)

Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems
by: Liu, Saining, et al.
Published: (2025)

A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable Terrain Conditions
by: Malakar, Sourav, et al.
Published: (2024)

Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
by: Saxena, Aditya, et al.
Published: (2024)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)

NK Hybrid Genetic Algorithm for Clustering
by: Tinós, Renato, et al.
Published: (2024)

SubStrat: A Subset-Based Strategy for Faster AutoML
by: Lazebnik, Teddy, et al.
Published: (2022)

State-Space Constraints Can Improve the Generalisation of the Differentiable Neural Computer to Input Sequences With Unseen Length
by: Ofner, Patrick, et al.
Published: (2021)

Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
by: Lazebnik, Teddy, et al.
Published: (2023)

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
by: Shen, Shuaijie, et al.
Published: (2024)

Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
by: Liu, Yubin, et al.
Published: (2021)

QL-LSTM: A Parameter-Efficient LSTM for Stable Long-Sequence Modeling
by: Nti, Isaac Kofi
Published: (2025)

An Imbalanced Dataset with Multiple Feature Representations for Studying Quality Control of Next-Generation Sequencing
by: Röchner, Philipp, et al.
Published: (2026)

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
by: Hao, Hao, et al.
Published: (2024)

Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025)

LLM Guided Evolution -- The Automation of Models Advancing Models
by: Morris, Clint, et al.
Published: (2024)

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
by: Zancato, Luca, et al.
Published: (2024)

PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms
by: Ali, Shady, et al.
Published: (2025)

Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models
by: Haut, Nathan, et al.
Published: (2025)

Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
by: Nikolikj, Ana, et al.
Published: (2024)

Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms
by: Saha, Shreya, et al.
Published: (2024)

Physics-Modeled Neural Networks
by: Felipe-Sosa, Raul, et al.
Published: (2026)

Diffusion Models are Evolutionary Algorithms
by: Zhang, Yanbo, et al.
Published: (2024)

Oscillatory State-Space Models
by: Rusch, T. Konstantin, et al.
Published: (2024)

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
by: Li, Wenhu, et al.
Published: (2025)

A Firefly Algorithm for Mixed-Variable Optimization Based on Hybrid Distance Modeling
by: Bechir, Ousmane Tom, et al.
Published: (2026)

1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting
by: Zhang, Cheng, et al.
Published: (2023)

Decomposing Evolutionary Mixture-of-LoRA Architectures: The Routing Lever, the Lifecycle Penalty, and a Substrate-Conditional Boundary
by: Kumaresan, Ramchand
Published: (2026)

An Approach to Analyze Niche Evolution in XCS Models
by: Lanzi, Pier Luca
Published: (2025)

Predictive Modeling in the Reservoir Kernel Motif Space
by: Tino, Peter, et al.
Published: (2024)

Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)

Code World Models for Parameter Control in Evolutionary Algorithms
by: Sartori, Camilo Chacón, et al.
Published: (2026)

Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks
by: Zhang, Xianyang, et al.
Published: (2024)

Microscaling Floating Point Formats for Large Language Models
by: Cococcioni, Marco, et al.
Published: (2025)