Tong, Anh

9 publications

AAAI 2025 CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran

ICLR 2025 Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-Tuning Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi

TMLR 2023 Global Contrastive Learning for Long-Tailed Classification Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang

NeurIPS 2022 Learning Fractional White Noises in Neural Stochastic Differential Equations Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi

AAAI 2021 Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems Anh Tong, Jaesik Choi

AAAI 2021 Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi

IJCAI 2019 Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi

ICML 2019 Discovering Latent Covariance Structures for Multiple Time Series Anh Tong, Jaesik Choi

ICML 2016 Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series Yunseong Hwang, Anh Tong, Jaesik Choi