A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability

3 February 2020

Papers citing "A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability"

6 / 6 papers shown

Title
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization Siqi Feng Rui Yao Stephane Hess Ricardo A. Daziano Timothy Brathwaite Joan Walker Shenhao Wang 30 1 0 23 Apr 2024
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets Amandeep Singh Ye Liu Hema Yoganarasimhan 36 2 0 13 Jul 2023
Deep Learning for Choice Modeling Zhongze Cai Hanrui Wang Kalyan Talluri Xiaocheng Li 14 7 0 19 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis Eui-Jin Kim P. Bansal 25 15 0 01 Aug 2022
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance Ioanna Arkoudi C. L. Azevedo Francisco Câmara Pereira 16 16 0 24 Sep 2021
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark Shenhao Wang Baichuan Mo Stephane Hess Jinhuan Zhao Jinhua Zhao 43 26 0 01 Feb 2021