28 citations · 49 across the 14 of their papers we have counts for
15 papers
Score-based Integrated Gradient for Root Cause Explanations of Outliers
Phuoc Nguyen, Truyen Tran, Sunil Gupta +1
Identifying the root causes of outliers is a fundamental problem in causal inference and anomaly detection. Traditional approaches based on heuristics or counterfactual reasoning o…
Robust SDE Parameter Estimation Under Missing Time Information Setting
Long Van Tran, Truyen Tran, Phuoc Nguyen
Recent advances in stochastic differential equations (SDEs) have enabled robust modeling of real-world dynamical processes across diverse domains, such as finance, health, and syst…
Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen, Truyen Tran, Sunil Gupta +2
Identifying root causes of anomalies in causal processes is vital across disciplines. Once identified, one can isolate the root causes and implement necessary measures to restore t…
Memory-Augmented Theory of Mind Network
Dung Nguyen, Phuoc Nguyen, Hung Le +3
Social reasoning necessitates the capacity of theory of mind (ToM), the ability to contextualise and attribute mental states to others without having access to their internal cogni…
Fast Conditional Network Compression Using Bayesian HyperNetworks
Phuoc Nguyen, Truyen Tran, Ky Le +6
We introduce a conditional compression problem and propose a fast framework for tackling it. The problem is how to quickly compress a pretrained large neural network into optimal s…
Learning to Transfer Role Assignment Across Team Sizes
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh +1
Multi-agent reinforcement learning holds the key for solving complex tasks that demand the coordination of learning agents. However, strong coordination often leads to expensive ex…
Learning Theory of Mind via Dynamic Traits Attribution
Dung Nguyen, Phuoc Nguyen, Hung Le +3
Machine learning of Theory of Mind (ToM) is essential to build social agents that co-live with humans and other agents. This capacity, once acquired, will help machines infer the m…
Unsupervised Anomaly Detection on Temporal Multiway Data
Duc Nguyen, Phuoc Nguyen, Kien Do +3
Temporal anomaly detection looks for irregularities over space-time. Unsupervised temporal models employed thus far typically work on sequences of feature vectors, and much less on…
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen +1
Guilt aversion induces experience of a utility loss in people if they believe they have disappointed others, and this promotes cooperative behaviour in human. In psychological game…
Variational Hyper-Encoding Networks
Phuoc Nguyen, Truyen Tran, Sunil Gupta +3
We propose a framework called HyperVAE for encoding distributions of distributions. When a target distribution is modeled by a VAE, its neural network parameters θis drawn from a d…
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…
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
Modern healthcare is ripe for disruption by AI. A game changer would be automatic understanding the latent processes from electronic medical records, which are being collected for…
Finding Algebraic Structure of Care in Time: A Deep Learning Approach
Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
Understanding the latent processes from Electronic Medical Records could be a game changer in modern healthcare. However, the processes are complex due to the interaction between a…
Deep Learning to Attend to Risk in ICU
Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
Modeling physiological time-series in ICU is of high clinical importance. However, data collected within ICU are irregular in time and often contain missing measurements. Since abs…
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe +1
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive re…