activity
20182026
most citedDeep Choice Model Using Pointer Networks for Airline Itinerary Prediction

57 citations · 93 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

3D Primitives are a Spatial Language for VLMs

Junze Liu, Kun Qian, Florian Dubost +8

Vision-language models (VLMs) exhibit a striking paradox: they can generate executable code that reconstructs a 3D scene from geometric primitives with correct object counts, class…

cs.LG2025

GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models

Jialin Chen, Houyu Zhang, Seongjun Yun +6

Retrieval-Augmented Generation (RAG) has significantly mitigated the hallucinations of Large Language Models (LLMs) by grounding the generation with external knowledge. Recent exte…

cs.LG2024

GraphStorm: all-in-one graph machine learning framework for industry applications

Da Zheng, Xiang Song, Qi Zhu +13

Graph machine learning (GML) is effective in many business applications. However, making GML easy to use and applicable to industry applications with massive datasets remain challe…

cs.SD2021

Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments

Alejandro Mottini, Jaime Lorenzo-Trueba, Sri Vishnu Kumar Karlapati +1

Voice Conversion (VC) is a technique that aims to transform the non-linguistic information of a source utterance to change the perceived identity of the speaker. While there is a r…

cs.LG2019★ 5 cited

What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant

Alejandro Mottini, Amber Roy Chowdhury

A considerable part of the success experienced by Voice-controlled virtual assistants (VVA) is due to the emotional and personalized experience they deliver, with humor being a key…

cs.LG2018★ 31 cited

Airline Passenger Name Record Generation using Generative Adversarial Networks

Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost

Passenger Name Records (PNRs) are at the heart of the travel industry. Created when an itinerary is booked, they contain travel and passenger information. It is usual for airlines…

stat.ML2018★ 57 cited

Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction

Alejandro Mottini, Rodrigo Acuna-Agost

Travel providers such as airlines and on-line travel agents are becoming more and more interested in understanding how passengers choose among alternative itineraries when searchin…