Causal-aware Anomaly Detection for Tabular Data Nguyen D, Nguyen TD, Le TM, Venkatesh S, Gupta S 2026 / International Conference on Machine Learning (ICML)
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.
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).
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.
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).
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).
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.
Reviving Error Correction in Modern Deep Time-Series Forecasting Nguyen MH, Do VD, Nguyen HH, Nguyen DT, Do K, Le H 2026 / International Conference on Machine Learning (ICML)
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)
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)
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.
Federated Domain Generalization with Latent Space Inversion Palakkadavath R, Le H, Nguyen-Tang T, Venkatesh S, Gupta S 2025 doi: 10.48550/arxiv.2512.10224
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting Le H, Abbas S, Nguyen MH, Do VD, Nguyen HH, Dũng NV 2025 doi: 10.48550/arxiv.2510.01206
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering Pham K, Le H, Ngo M, Tran T 2025
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob’s h-Transform Nguyen T, Do K, Kieu D, Nguyen T 2025 / 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)28490 - 28501. doi: 10.1109/cvpr52734.2025.02653
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models Le Q, Dang LH, Le NH, Tran T, Le TM 2025, 39(4), 4473 - 4481. doi: 10.1609/aaai.v39i4.32471
LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying George TK, Semage BL, Rana S, Le H, Tran T, Gupta S, Venkatesh S 2025 / Neural Computing and Applications, 37:12447 - 12470.
Physics-informed machine learning for predicting the ballistic limit of whipple shields Ryan S, Le H, Berk J, Kumar AVA, Venkatesh S 2025 / International Journal of Impact Engineering, 203:105364. doi: 10.1016/j.ijimpeng.2025.105364
