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

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

SigFormer: Signature Transformers for Deep Hedging. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Toan M. Tran; Jaesik Choi (ICAIF, 2023)

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Duc Nguyen; Toan M. Tran; David Leo Wright Hall; Cheongwoong Kang; Jaesik Choi (ICLR, 2025)