From Optimization to Prediction: Transformer-Based Path-Flow Estimation to the Traffic Assignment Problem
Fuente:
arXiv
Saved in:
| Main Authors: | Ameli, Mostafa, Shams, Sulthana, Le, Van Anh, Skabardonis, Alexander |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)
by: Rosemberg, Andrew, et al.
Published: (2025)
Flow-Through Tensors: A Unified Computational Graph Architecture for Multi-Layer Transportation Network Optimization
by: Xuesong, et al.
Published: (2025)
by: Xuesong, et al.
Published: (2025)
Spatial Transformers for Radio Map Estimation
by: Viet, Pham Q., et al.
Published: (2024)
by: Viet, Pham Q., et al.
Published: (2024)
Mean-Field Path-Integral Diffusion: From Samples to Interacting Agents
by: Chertkov, Michael
Published: (2026)
by: Chertkov, Michael
Published: (2026)
Understanding Optimization in Deep Learning with Central Flows
by: Cohen, Jeremy M., et al.
Published: (2024)
by: Cohen, Jeremy M., et al.
Published: (2024)
Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
by: Ahadi, Pouya, et al.
Published: (2025)
by: Ahadi, Pouya, et al.
Published: (2025)
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
by: Ma, Shaocong, et al.
Published: (2025)
by: Ma, Shaocong, et al.
Published: (2025)
Predictive and Prescriptive AI toward Optimizing Wildfire Suppression
by: Boussioux, Leonard, et al.
Published: (2026)
by: Boussioux, Leonard, et al.
Published: (2026)
Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Adaptively Robust LLM Inference Optimization under Prediction Uncertainty
by: Chen, Zixi, et al.
Published: (2025)
by: Chen, Zixi, et al.
Published: (2025)
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto
by: Wasserkrug, Segev, et al.
Published: (2024)
by: Wasserkrug, Segev, et al.
Published: (2024)
DualSchool: How Reliable are LLMs for Optimization Education?
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Hierarchical Mixture-of-Experts with Two-Stage Optimization
by: Molodtsov, Gleb, et al.
Published: (2026)
by: Molodtsov, Gleb, et al.
Published: (2026)
Dynamic Memory Based Adaptive Optimization
by: Szegedy, Balázs, et al.
Published: (2024)
by: Szegedy, Balázs, et al.
Published: (2024)
Optimizer-Induced Mode Connectivity: From AdamW to Muon
by: Zhang, Fangzhao, et al.
Published: (2026)
by: Zhang, Fangzhao, et al.
Published: (2026)
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
by: Geng, Haoyu, et al.
Published: (2023)
by: Geng, Haoyu, et al.
Published: (2023)
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
by: Ma, Shaocong, et al.
Published: (2025)
by: Ma, Shaocong, et al.
Published: (2025)
SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks
by: Cheng, Sikai, et al.
Published: (2025)
by: Cheng, Sikai, et al.
Published: (2025)
gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
by: Puech, Alban, et al.
Published: (2025)
by: Puech, Alban, et al.
Published: (2025)
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)
by: Adde, Nihal Acharya, et al.
Published: (2024)
From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling
by: Lin, Jianghao, et al.
Published: (2026)
by: Lin, Jianghao, et al.
Published: (2026)
Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
by: Xie, Zhuojun, et al.
Published: (2025)
by: Xie, Zhuojun, et al.
Published: (2025)
The Algorithm Configuration Problem
by: Iommazzo, Gabriele, et al.
Published: (2024)
by: Iommazzo, Gabriele, et al.
Published: (2024)
Value of Information-based Deceptive Path Planning Under Adversarial Interventions
by: Suttle, Wesley A., et al.
Published: (2025)
by: Suttle, Wesley A., et al.
Published: (2025)
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
by: Li, Hongpei, et al.
Published: (2024)
by: Li, Hongpei, et al.
Published: (2024)
The Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization
by: Kravatskiy, Alexey, et al.
Published: (2025)
by: Kravatskiy, Alexey, et al.
Published: (2025)
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
by: Chen, Lizhang, et al.
Published: (2023)
by: Chen, Lizhang, et al.
Published: (2023)
Optimization Learning
by: Van Hentenryck, Pascal
Published: (2025)
by: Van Hentenryck, Pascal
Published: (2025)
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
by: Shafiee, Soroosh, et al.
Published: (2023)
by: Shafiee, Soroosh, et al.
Published: (2023)
Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning
by: Pan, Yicheng, et al.
Published: (2026)
by: Pan, Yicheng, et al.
Published: (2026)
Deep Reinforcement Learning for Traveling Purchaser Problems
by: Yuan, Haofeng, et al.
Published: (2024)
by: Yuan, Haofeng, et al.
Published: (2024)
Joint Problems in Learning Multiple Dynamical Systems
by: Niu, Mengjia, et al.
Published: (2023)
by: Niu, Mengjia, et al.
Published: (2023)
Kinematic Tokenization: Optimization-Based Continuous-Time Tokens for Learnable Decision Policies in Noisy Time Series
by: Kearney, Griffin
Published: (2026)
by: Kearney, Griffin
Published: (2026)
Muon Dynamics as a Spectral Wasserstein Flow
by: Peyré, Gabriel
Published: (2026)
by: Peyré, Gabriel
Published: (2026)
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
by: Asru, Avijit Saha, et al.
Published: (2025)
by: Asru, Avijit Saha, et al.
Published: (2025)
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
by: Kikuta, Daisuke, et al.
Published: (2024)
by: Kikuta, Daisuke, et al.
Published: (2024)
Reinforcement Learning for Multi-Truck Vehicle Routing Problems
by: Levin, Joshua, et al.
Published: (2022)
by: Levin, Joshua, et al.
Published: (2022)
Similar Items
-
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
by: Ozaslan, Ibrahim K., et al.
Published: (2024) -
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025) -
Flow-Through Tensors: A Unified Computational Graph Architecture for Multi-Layer Transportation Network Optimization
by: Xuesong, et al.
Published: (2025) -
Spatial Transformers for Radio Map Estimation
by: Viet, Pham Q., et al.
Published: (2024) -
Mean-Field Path-Integral Diffusion: From Samples to Interacting Agents
by: Chertkov, Michael
Published: (2026)