88 citations · 260 across the 29 of their papers we have counts for
6 papers · 1 filter
Hybrid Generative-Discriminative Models for Inverse Materials Design
Phuoc Nguyen, Truyen Tran, Sunil Gupta +2
Discovering new physical products and processes often demands enormous experimentation and expensive simulation. To design a new product with certain target characteristics, an ext…
One Size Fits Many: Column Bundle for Multi-X Learning
Trang Pham, Truyen Tran, Svetha Venkatesh
Much recent machine learning research has been directed towards leveraging shared statistics among labels, instances and data views, commonly referred to as multi-label, multi-inst…
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments
Thuong Nguyen, Truyen Tran, Shivapratap Gopakumar +2
Accurate prediction of suicide risk in mental health patients remains an open problem. Existing methods including clinician judgments have acceptable sensitivity, but yield many fa…
Learning deep representation of multityped objects and tasks
Truyen Tran, Dinh Phung, Svetha Venkatesh
We introduce a deep multitask architecture to integrate multityped representations of multimodal objects. This multitype exposition is less abstract than the multimodal characteriz…
Choice by Elimination via Deep Neural Networks
Truyen Tran, Dinh Phung, Svetha Venkatesh
We introduce Neural Choice by Elimination, a new framework that integrates deep neural networks into probabilistic sequential choice models for learning to rank. Given a set of ite…
Collaborative filtering via sparse Markov random fields
Truyen Tran, Dinh Phung, Svetha Venkatesh
Recommender systems play a central role in providing individualized access to information and services. This paper focuses on collaborative filtering, an approach that exploits the…