Preprints | Publications

(* indicates equal contributions. )

Preprints

Neural Image Compression with a Diffusion-based Decoder.
[Paper]
Ghouse N., Petersen J., Wiggers A.J., Xu T., and Sautiere G.
Preprint. (2022).

Publications

Conditional COT-GAN for Video Prediction with Kernel Smoothing.
[Paper]
Xu T. and Acciaio B.
NeurIPS Workshop on Robustness in Sequence Modelling. (2022).

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss.
[Paper] [Code]
Klemmer K.*, Xu T.*, Acciaio B. and Neill D.
AAAI. (2021).

Double Generative Adversarial Networks for Conditional Independence Testing.
[Paper] [Code]
Shi C., Xu T., Bergsma W, & Li L.
Journal of Machine Learning Research, 22(285) 1-32. (2021).

Generative modeling of spatio-temporal weather patterns with extreme event conditioning.
[Paper]
Klemmer K., Saha S., Kahl M., Xu T., Zhu XX.
ICLR workshop on AIMOCC. (2021).

COT-GAN: Generating Sequential Data via Causal Optimal Transport.
[Paper] [TensorFlow implementation] [PyTorch implementation]
Xu T., Wenliang L., Munn M, & Acciaio B.
NeurIPS. (2020).

Variational f-divergence Minimization.
[Paper]
Zhang M., Bird T., Habib R., Xu T., & Barber D.
NeurIPS workshop on Information Theory. (2019).