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

A Survey on Neural Network Prediction Based on Fuzzy Information Granules: Methods, Applications, and Future Challenges

Abstract: In the era of artificial intelligence, the complexity and diversity of data have posed unprecedented challenges for prediction tasks. Fuzzy information granules (FIGs) have emerged as a ...
IEEE

Artificial Neural Network-Based Prediction of Total Project Cost of Residential Dwellings in Quezon City, Philippines Utilizing Engineering Building Parameters and Site ...

Abstract: This study develops an Artificial Neural Network (ANN)-based prediction model to estimate the total project cost (TPC) of residential dwellings in Quezon City, the largest local government ...