Causal-aware Anomaly Detection for Tabular Data Nguyen D, Nguyen TD, Le TM, Venkatesh S, Gupta S 2026 / International Conference on Machine Learning (ICML)
Rethinking Deep Alignment Through The Lens Of Incomplete Learning Bach T, Nguyen DT, Le TM, Tran T 2026 / AAAI Conference on Artificial Intelligence (AAAI)(accepted on Nov 08, 2025).
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models Nguyen M, Gupta S, Le H 2026 / AAAI Conference on Artificial Intelligence (AAAI)(accepted on Nov 08, 2025).
SIMPA: Restricting What Experts See, Not What They Produce, in MoE-PEFT Tri QP, Khoa T, Giang DAL, Truyen TT, Tho Q 2026 / Conference on Empirical Methods in Natural Language Processing (EMNLP)
Predictors of depression outcomes among university students following brief smartphone-based interventions Liu X, Zheng W, Hoon L, Gupta S, Venkatesh S, Christensen H, Newby J, Whitton A 2026 / npj Mental Health Research, 5(1), 25.
Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation Nguyen M, Gupta S, Le H 2026 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
Diverse Image Priors for Black-box Data-free Knowledge Distillation Vo T, Nguyen D, Le TM, Do K, Gupta S 2026 / International Conference on Computational Collective Intelligence (ICCCI)
Robust SDE Parameter Estimation under Missing Time Information Setting Tran L, Tran T, Nguyen P 2026 / AAAI Conference on Artificial Intelligence (AAAI)(accepted on Nov 08, 2025).
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting Nguyen HH, Nguyen MH, Nguyen DT, Le H 2026 / Annual Conference on Artificial Intelligence and Statistics (AISTATS)Accepted on 23/01/2026.
FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation Le MK, Do K, Nguyen DT, Tran T 2026 / Conference on Computer Vision and Pattern Recognition (CVPR)4234 - 4244.
High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions Ngo G, Trong DP, Nguyen D, Gupta S 2026 / Annual Conference on Artificial Intelligence and Statistics (AISTATS)Accepted on 23/01/2026.
Universal Multi-Domain Translation via Diffusion Routers Kieu D, Do K, Hoang TD, Le TM, Kieu T, Nguyen D, Nguyen T 2026 / International Conference on Learning Representations (ICLR)Accepted on 27/01/2026.
TAKE: Trajectory-Aware Knowledge Estimation for Text Dataset Distillation Vo T, Nguyen D, Gupta S 2026 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
Eigenvectors of Experts are Training-free Non-collapsing Routers Do G, Le H, Tran T 2026 / International Conference on Machine Learning (ICML)
Rethinking Sparse Mixture of Experts from a Unified Perspective Do G, Le H, Tran T 2026 / International Conference on Machine Learning (ICML)
Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models Ngo G, Trong DP, Nguyen D, Gupta S, Venkatesh S 2026 / International Conference on Learning Representations (ICLR)Accepted on 27/01/2026.
f-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models Vuong HT, Van LLP, Nguyen D, Nguyen T, Nguyen P, Harandi M, Le TM 2026 / International Conference on Machine Learning (ICML)
A Geometric Information Bottleneck for Activation Steering Toan D, Thin N, Sunil G 2026 / Conference on Knowledge Discovery and Data Mining (KDD)
Molecular design rules for wettability minimisation on grafted cellulose surfaces through human-machine teaming optimisation Wang Y, Nguyen TM, Berk J, Rana S, Kiziltas A, Blanchard P, Venkatesh S, Walsh TR 2026 / Journal of Colloid and Interface Science, 724:141078.
Enhancing Model Explainability and Performance via Attention-guided Gradient Restriction Nguyen C, Le H, Nguyen T 2026 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
