IEEE

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
GitHub

Pushing the Limit of Quantized Video Generative Models

This is the official implementation of our paper QVGen. It is the first to reach full-precision comparable quality under 4-bit settings and it significantly outperforms existing methods. For instance, ...
IEEE

Hybrid Multi-Scale Deep Learning Enhanced Electricity Load Forecasting Using Attention-Based Convolutional Neural Network and LSTM Model

Abstract: Accurate electricity load forecasting is crucial for efficient grid management, resource allocation, and maintaining stability, particularly in the face of increasing climate variability and ...
GitHub

Public python API inconsistency: some methods return models, others return raw dicts

The Python Copilot SDK currently exposes a mixed public API surface: some higher-level methods return dataclass-based models (generated from NodeJS definitions), while others return raw JSON-RPC dicts ...