On Distributional Dependent Performance of Classical and Neural Routing Solvers
Fuente:
arXiv
Saved in:
| Main Authors: | Thyssens, Daniela, Dernedde, Tim, Sentanoe, Wilson, Schmidt-Thieme, Lars |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recurrent State Encoders for Efficient Neural Combinatorial Optimization
by: Dernedde, Tim, et al.
Published: (2025)
by: Dernedde, Tim, et al.
Published: (2025)
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
by: Dernedde, Tim, et al.
Published: (2024)
by: Dernedde, Tim, et al.
Published: (2024)
Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2025)
by: Klötergens, Christian, et al.
Published: (2025)
Bayesian Active Learning By Distribution Disagreement
by: Werner, Thorben, et al.
Published: (2025)
by: Werner, Thorben, et al.
Published: (2025)
Towards Comparable Active Learning
by: Werner, Thorben, et al.
Published: (2023)
by: Werner, Thorben, et al.
Published: (2023)
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
by: Madhusudhanan, Kiran, et al.
Published: (2024)
by: Madhusudhanan, Kiran, et al.
Published: (2024)
The Role of Active Learning in Modern Machine Learning
by: Werner, Thorben, et al.
Published: (2025)
by: Werner, Thorben, et al.
Published: (2025)
Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2026)
by: Klötergens, Christian, et al.
Published: (2026)
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
by: Elsayed, Shereen, et al.
Published: (2024)
by: Elsayed, Shereen, et al.
Published: (2024)
Efficient Decoder Scaling Strategy for Neural Routing Solvers
by: Luo, Qing, et al.
Published: (2026)
by: Luo, Qing, et al.
Published: (2026)
Memory-Enhanced Neural Solvers for Routing Problems
by: Chalumeau, Felix, et al.
Published: (2024)
by: Chalumeau, Felix, et al.
Published: (2024)
HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)
by: Choi, Jung Min, et al.
Published: (2026)
Temporal Patch Shuffle (TPS): Leveraging Patch-Level Shuffling to Boost Generalization and Robustness in Time Series Forecasting
by: Bakhshaliyev, Jafar, et al.
Published: (2026)
by: Bakhshaliyev, Jafar, et al.
Published: (2026)
A Cross-Domain Benchmark for Active Learning
by: Werner, Thorben, et al.
Published: (2024)
by: Werner, Thorben, et al.
Published: (2024)
NPMixer: Hierarchical Neighboring Patch Mixing for Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)
by: Choi, Jung Min, et al.
Published: (2026)
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
by: Abdelmalak, Ibram, et al.
Published: (2025)
by: Abdelmalak, Ibram, et al.
Published: (2025)
Survey on Neural Routing Solvers
by: Ba, Yunpeng, et al.
Published: (2026)
by: Ba, Yunpeng, et al.
Published: (2026)
Valid and Expressive Copulas for Irregular Multivariate Time Series
by: Klötergens, Christian, et al.
Published: (2026)
by: Klötergens, Christian, et al.
Published: (2026)
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2024)
by: Klötergens, Christian, et al.
Published: (2024)
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
by: Madhusudhanan, Kiran, et al.
Published: (2024)
by: Madhusudhanan, Kiran, et al.
Published: (2024)
Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2026)
by: Wang, Zhenwei, et al.
Published: (2026)
LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification
by: Bdeir, Ahmad, et al.
Published: (2026)
by: Bdeir, Ahmad, et al.
Published: (2026)
Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
by: Elsayed, Shereen, et al.
Published: (2026)
by: Elsayed, Shereen, et al.
Published: (2026)
Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver
by: Yu, Canhong, et al.
Published: (2026)
by: Yu, Canhong, et al.
Published: (2026)
Learning to Insert for Constructive Neural Vehicle Routing Solver
by: Luo, Fu, et al.
Published: (2025)
by: Luo, Fu, et al.
Published: (2025)
URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
by: Zhou, Changliang, et al.
Published: (2025)
by: Zhou, Changliang, et al.
Published: (2025)
Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
by: Bi, Jieyi, et al.
Published: (2026)
by: Bi, Jieyi, et al.
Published: (2026)
Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)
by: Wei, Zhao, et al.
Published: (2026)
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
by: Feng, Shaodi, et al.
Published: (2025)
by: Feng, Shaodi, et al.
Published: (2025)
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
by: Gao, Chengrui, et al.
Published: (2023)
by: Gao, Chengrui, et al.
Published: (2023)
Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)
by: Zhou, Changliang, et al.
Published: (2025)
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
by: Zheng, Yuepeng, et al.
Published: (2025)
by: Zheng, Yuepeng, et al.
Published: (2025)
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)
by: Xiao, Yubin, et al.
Published: (2024)
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
by: Zheng, Zhi, et al.
Published: (2024)
by: Zheng, Zhi, et al.
Published: (2024)
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
by: Madhusudhanan, Kiran, et al.
Published: (2025)
by: Madhusudhanan, Kiran, et al.
Published: (2025)
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs
by: Klötergens, Christian, et al.
Published: (2025)
by: Klötergens, Christian, et al.
Published: (2025)
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2024)
by: Zhou, Changliang, et al.
Published: (2024)
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
by: Lin, Junchao, et al.
Published: (2024)
by: Lin, Junchao, et al.
Published: (2024)
Similar Items
-
Recurrent State Encoders for Efficient Neural Combinatorial Optimization
by: Dernedde, Tim, et al.
Published: (2025) -
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
by: Dernedde, Tim, et al.
Published: (2024) -
Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2025) -
Bayesian Active Learning By Distribution Disagreement
by: Werner, Thorben, et al.
Published: (2025) -
Towards Comparable Active Learning
by: Werner, Thorben, et al.
Published: (2023)