IEEE

Continual Learning-Based Neural Network With Time Embedding for Silicon Content Prediction in Blast Furnace

Abstract: The prediction of molten iron silicon content ([Si]) is crucial for blast furnace operation. Nowadays, neural networks are emerging as the most advanced model for [Si] prediction tasks.
National Bureau of Economic Research

Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...

Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
IEEE

Network Delay Prediction Based on Graph Neural Network and Attention Mechanism

Abstract: Network modeling serves as a powerful tool for network management and optimization, enabling network operators to more accurately understand the network state by predicting critical ...