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), ...
IEEE

Personalized Travel Recommendations Based on Asynchronous and Privacy-Preserving Mixed Logit Model

Abstract: A data-secure and cost-efficient Personalized Travel Recommendation (PTR) is necessary to develop urban intelligence in transportation. Although prevalent machine learning-based methods have ...
Electrek

Tesla: A guide from the original Roadster to today

Tesla is a transportation and energy company. It sells vehicles under its 'Tesla Motors' division and stationary battery pack for home, commercial and utility-scale projects under its 'Tesla Energy' ...
Nature

Cancer models articles from across Nature Portfolio

Cancer models are naturally existing or artificially induced systems that share features with human cancers. Experimental systems for studying human cancer include cell lines and organisms such as ...
IEEE

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting

Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...
GitHub

(ICDE'25) Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation

This repository contains the code for our ICDE 2025 paper, where we propose an efficient MTSF framework that leverages the calibrated language models and privileged knowledge distillation. We have ...