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Mingtian Zhang
Mingtian Zhang
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Wasserstein robust reinforcement learning
MA Abdullah, H Ren, HB Ammar, V Milenkovic, R Luo, M Zhang, J Wang
arXiv preprint arXiv:1907.13196, 2019
372019
Variational f-divergence minimization
M Zhang, T Bird, R Habib, T Xu, D Barber
arXiv preprint arXiv:1907.11891, 2019
152019
Spread Divergences
M Zhang, P Hayes, T Bird, R Habib, D Barber
International Conference on Machine Learning, 2020
11*2020
On the out-of-distribution generalization of probabilistic image modelling
M Zhang, A Zhang, S McDonagh
Advances in Neural Information Processing Systems 34, 3811-3823, 2021
102021
Afec: Active forgetting of negative transfer in continual learning
L Wang, M Zhang, Z Jia, Q Li, C Bao, K Ma, J Zhu, Y Zhong
Advances in Neural Information Processing Systems 34, 22379-22391, 2021
22021
Flow based models for manifold data
M Zhang, Y Sun, S McDonagh, C Zhang
arXiv preprint arXiv:2109.14216, 2021
22021
Generalization Gap in Amortized Inference
M Zhang, P Hayes, D Barber
arXiv preprint arXiv:2205.11640, 2022
12022
Parallel Neural Local Lossless Compression
M Zhang, J Townsend, N Kang, D Barber
arXiv preprint arXiv:2201.05213, 2022
12022
Integrated Weak Learning
P Hayes, M Zhang, R Habib, J Burgess, E Yilmaz, D Barber
arXiv preprint arXiv:2206.09496, 2022
2022
Out-of-Distribution Detection with Class Ratio Estimation
M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh
arXiv preprint arXiv:2206.03955, 2022
2022
Improving VAE-based Representation Learning
M Zhang, TZ Xiao, B Paige, D Barber
arXiv preprint arXiv:2205.14539, 2022
2022
Solipsistic Reinforcement Learning
M Zhang, PN Hayes, TZ Xiao, A Zhang, D Barber
Self-Supervision for Reinforcement Learning Workshop, ICLR 2021, 2021
2021
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Articles 1–12