Tag: Prediction
All the articles with the tag "Prediction".
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Single-shot prediction of parametric partial differential equations
Published: at 11:13 AM
99.48 🤔Flexi-VAE introduces a variational autoencoder framework for single-shot forecasting of parametric PDEs, using a neural propagator to achieve efficient, accurate long-horizon predictions with significant speedups over sequential models like AE-LSTM, as validated on Burgers' and advection-diffusion equations.
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Purity Law for Generalizable Neural TSP Solvers
Published: at 11:09 AM 98.11 🤔This paper introduces Purity Law (PuLa), a structural principle revealing sparsity bias in optimal TSP solutions, and proposes Purity Policy Optimization (PUPO), a training framework that significantly enhances the generalization of neural TSP solvers across diverse scales and distributions without inference overhead.
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Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC
Published: at 11:06 AM 94.41 🤔This paper introduces AEDGPR-MPC, a framework combining Model Predictive Control with Gaussian Process Regression and active exploration to correct vehicle model mismatches, achieving significant reductions in lateral error (up to 52.8% in simulation, 36.7% in RC car tests) and velocity tracking RMSE during extreme cornering drift control.
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Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Published: at 11:14 AM 91.73 🤔Token Recycling 提出了一种无训练的推测解码方法，通过回收候选词并利用邻接矩阵构建草稿树，实现大型语言模型推理约 2 倍加速，相较于其他无训练方法提升超 30%。
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GCN-Based Throughput-Oriented Handover Management in Dense 5G Vehicular Networks
Published: at 11:06 AM 91.51 🤔This paper introduces TH-GCN, a Graph Convolutional Network-based approach for handover management in dense 5G vehicular networks, which models dynamic network conditions to reduce handovers by up to 78% and improve signal quality and throughput through real-time, topology-aware decisions.