Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
IEEE

Refining Time-Space Traffic Diagrams: A Simple Multiple Linear Regression Model

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...
GitHub

Language-Based Multimodal Trajectory Prediction

Traditional vs. Our language-based trajectory prediction, LMTraj. We provide scripts to evaluate our LMTraj-ZERO model for all datasets simultaneously. Two scripts ...
IEEE

Gaussian Beam Summation Migration of Deep Reflection Seismic Data: Numerical Examples

Abstract: The deep reflection seismic technique is essential to detect the basement of petroliferous basins and the fine structure of the lithosphere. Traditional stacking or time migration is usually ...