Tianlin Xu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Temporal Patterns

Conditional Independencies

Exploratory Analysis

Generative Model

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Signal Inf. Process. over Networks

Publications

Noor Fathima Goose, Jens Petersen, Auke Wiggers, Tianlin Xu, Guillaume Sautière
Neural Image Compression with a Diffusion-Based Decoder. CoRR (2023)
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. AAAI (2022)
Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu
Generative modeling of spatio-temporal weather patterns with extreme event conditioning. CoRR (2021)
Shuai Liu, Tianlin Xu, Engang Tian
Event-Based Pinning Synchronization Control for Time-Delayed Complex Dynamical Networks: The Finite-Time Boundedness. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li
Double Generative Adversarial Networks for Conditional Independence Testing. J. Mach. Learn. Res. 22 (2021)
Tianlin Xu, Beatrice Acciaio
Quantized Conditional COT-GAN for Video Prediction. CoRR (2021)
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. CoRR (2021)
Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
COT-GAN: Generating Sequential Data via Causal Optimal Transport. CoRR (2020)
Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
COT-GAN: Generating Sequential Data via Causal Optimal Transport. NeurIPS (2020)
Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li
Double Generative Adversarial Networks for Conditional Independence Testing. CoRR (2020)
Mingtian Zhang, Thomas Bird, Raza Habib, Tianlin Xu, David Barber
Variational f-divergence Minimization. CoRR (2019)