Variational f-divergence Minimization. - Mingtian Zhang; Thomas Bird; Raza Habib; Tianlin Xu; David Barber (CoRR, 2019)

COT-GAN: Generating Sequential Data via Causal Optimal Transport. - Tianlin Xu; Li Kevin Wenliang; Michael Munn; Beatrice Acciaio (NeurIPS, 2020)

Generative modeling of spatio-temporal weather patterns with extreme event conditioning. - Konstantin Klemmer; Sudipan Saha; Matthias Kahl; Tianlin Xu; Xiao Xiang Zhu 001 (CoRR, 2021)

Quantized Conditional COT-GAN for Video Prediction. - Tianlin Xu; Beatrice Acciaio (CoRR, 2021)

Double Generative Adversarial Networks for Conditional Independence Testing. - Chengchun Shi; Tianlin Xu; Wicher Bergsma; Lexin Li (J. Mach. Learn. Res., 2021)

Event-Based Pinning Synchronization Control for Time-Delayed Complex Dynamical Networks: The Finite-Time Boundedness. - Shuai Liu 007; Tianlin Xu; Engang Tian (IEEE Trans. Signal Inf. Process. over Networks, 2021)

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. - Konstantin Klemmer; Tianlin Xu; Beatrice Acciaio; Daniel B. Neill (AAAI, 2022)

Neural Image Compression with a Diffusion-Based Decoder. - Noor Fathima Ghouse; Jens Petersen; Auke J. Wiggers; Tianlin Xu; Guillaume Sautière (CoRR, 2023)