LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

1 code implementation • 29 Apr 2024 • Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K Reddy

Mathematical equations have been unreasonably effective in describing complex natural phenomena across various scientific disciplines.

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting

1 code implementation • 30 May 2023 • Zibo Liu, Parshin Shojaee, Chandan K Reddy

Current works primarily rely on road networks with graph structures and learn representations using graph neural networks (GNNs), but this approach suffers from over-smoothing problem in deep architectures.

Spatio-Temporal Forecasting Time Series Forecasting +1

WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values

1 code implementation • 11 Nov 2022 • Amin Nayebi, Sindhu Tipirneni, Chandan K Reddy, Brandon Foreman, Vignesh Subbian

We also show that our Dynamic WindowSHAP algorithm focuses more on the most important time steps and provides more understandable explanations.

Time Series Time Series Analysis