Tran, Truyen

53 publications

AAAI 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models Minh Khoa Le, Kien Do, Truyen Tran

IJCAI 2025 Navigating Social Dilemmas with LLM-Based Agents via Consideration of Future Consequences Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

TMLR 2025 On the Role of Discrete Representation in Sparse Mixture of Experts Giang Do, Kha Pham, Hung Le, Truyen Tran

AAAI 2025 Progressive Multi-Granular Alignments for Grounded Reasoning in Large Vision-Language Models Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le

ICLR 2025 Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering Kha Pham, Hung Le, Man Ngo, Truyen Tran

IJCAI 2024 Diversifying Training Pool Predictability for Zero-Shot Coordination: A Theory of Mind Approach Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

TMLR 2024 Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran

AAAI 2024 Root Cause Explanation of Outliers Under Noisy Mechanisms Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh

WACV 2023 Guiding Visual Question Answering with Attention Priors Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran

NeurIPSW 2023 Hierarchical GFlowNet for Crystal Structure Generation Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh

ICLR 2023 Improving Out-of-Distribution Generalization with Indirection Representations Kha Pham, Hung Le, Man Ngo, Truyen Tran

AAAI 2023 Memory-Augmented Theory of Mind Network Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

ICCV 2023 Persistent-Transient Duality: A Multi-Mechanism Approach for Modeling Human-Object Interaction Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran

IJCAI 2023 Social Motivation for Modelling Other Agents Under Partial Observability in Decentralised Training Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

NeurIPS 2022 Functional Indirection Neural Estimator for Better Out-of-Distribution Generalization Kha Pham, Thai Hung Le, Man Ngo, Truyen Tran

ICLR 2022 Generative Pseudo-Inverse Memory Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh

NeurIPS 2022 Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation Kien Do, Thai Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

CVPRW 2022 Persistent-Transient Duality in Human Behavior Modeling Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran

NeurIPSW 2022 Time-Evolving Conditional Character-Centric Graphs for Movie Understanding Long Hoang Dang, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

ECCV 2022 Towards Effective and Robust Neural Trojan Defenses via Input Filtering Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh

ECCV 2022 Video Dialog as Conversation About Objects Living in Space-Time Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

ICCV 2021 Clustering by Maximizing Mutual Information Across Views Kien Do, Truyen Tran, Svetha Venkatesh

ECML-PKDD 2021 Fast Conditional Network Compression Using Bayesian HyperNetworks Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh

WACV 2021 Goal-Driven Long-Term Trajectory Prediction Hung Tran, Vuong Le, Truyen Tran

IJCAI 2021 Hierarchical Object-Oriented Spatio-Temporal Reasoning for Video Question Answering Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran

ECML-PKDD 2021 Knowledge Distillation with Distribution Mismatch Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh

CVPR 2021 Learning Asynchronous and Sparse Human-Object Interaction in Videos Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran

NeurIPS 2021 Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le, Thommen Karimpanal George, Majid Abdolshah, Truyen Tran, Svetha Venkatesh

AAAI 2021 Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization Kien Do, Truyen Tran, Svetha Venkatesh

ECML-PKDD 2021 Variational Hyper-Encoding Networks Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh

IJCAI 2020 Dynamic Language Binding in Relational Visual Reasoning Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

ICLR 2020 Neural Stored-Program Memory Hung Le, Truyen Tran, Svetha Venkatesh

ICML 2020 Self-Attentive Associative Memory Hung Le, Truyen Tran, Svetha Venkatesh

ICLR 2020 Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do, Truyen Tran

ACML 2020 Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran

NeurIPSW 2020 Toward a Generalization Metric for Deep Generative Models Hoang Thanh-Tung, Truyen Tran

MLJ 2019 Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh

ICLR 2019 Improving Generalization and Stability of Generative Adversarial Networks Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh

ICLR 2019 Learning to Remember More with Less Memorization Hung Le, Truyen Tran, Svetha Venkatesh

NeurIPS 2018 Variational Memory Encoder-Decoder Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

AAAI 2017 Column Networks for Collective Classification Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

MLJ 2017 Erratum to: Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

MLJ 2017 Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

MLHC 2016 Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data Truyen Tran, Wei Luo, Dinh Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh

ACML 2015 Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

AAAI 2015 Tensor-Variate Restricted Boltzmann Machines Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

ACML 2014 Ordinal Random Fields for Recommender Systems Shaowu Liu, Truyen Tran, Gang Li

ACML 2013 Learning Parts-Based Representations with Nonnegative Restricted Boltzmann Machine Tu Dinh Nguyen, Truyen Tran, Dinh Phung, Svetha Venkatesh

ICML 2013 Thurstonian Boltzmann Machines: Learning from Multiple Inequalities Truyen Tran, Dinh Phung, Svetha Venkatesh

AAAI 2012 A Sequential Decision Approach to Ordinal Preferences in Recommender Systems Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

ACML 2012 Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis Truyen Tran, Dinh Phung, Svetha Venkatesh

ACML 2012 Learning from Ordered Sets and Applications in Collaborative Ranking Truyen Tran, Dinh Phung, Svetha Venkatesh

ACML 2011 Mixed-Variate Restricted Boltzmann Machines Truyen Tran, Dinh Phung, Svetha Venkatesh