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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
732019
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
432021
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
322021
Spread Divergences
M Zhang, P Hayes, T Bird, R Habib, D Barber
International Conference on Machine Learning, 2020
28*2020
Variational f-divergence minimization
M Zhang, T Bird, R Habib, T Xu, D Barber
arXiv preprint arXiv:1907.11891, 2019
262019
Generalization Gap in Amortized Inference
M Zhang, P Hayes, D Barber
Advances in Neural Information Processing Systems, 2022, 2022
102022
Improving vae-based representation learning
M Zhang, TZ Xiao, B Paige, D Barber
arXiv preprint arXiv:2205.14539, 2022
92022
Towards healing the blindness of score matching
M Zhang, O Key, P Hayes, D Barber, B Paige, FX Briol
arXiv preprint arXiv:2209.07396, 2022
72022
Parallel Neural Local Lossless Compression
M Zhang, J Townsend, N Kang, D Barber
arXiv preprint arXiv:2201.05213, 2022
72022
Spread Flows for Manifold Modelling
M Zhang, Y Sun, C Zhang, S Mcdonagh
International Conference on Artificial Intelligence and Statistics, 11435-11456, 2023
6*2023
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence
L Wang, X Zhang, Q Li, M Zhang, H Su, J Zhu, Y Zhong
Nature Machine Intelligence 5 (12), 1356-1368, 2023
52023
Out-of-distribution detection with class ratio estimation
M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh
arXiv preprint arXiv:2206.03955, 2022
5*2022
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-tuning
M Zhang, S Lan, P Hayes, D Barber
arXiv preprint arXiv:2402.12177, 2024
12024
Moment matching denoising gibbs sampling
M Zhang, A Hawkins-Hooker, B Paige, D Barber
Advances in Neural Information Processing Systems 36, 2024
12024
Integrated Weak Learning
P Hayes, M Zhang, R Habib, J Burgess, E Yilmaz, D Barber
arXiv preprint arXiv:2206.09496, 2022
12022
Active Preference Learning for Large Language Models
W Muldrew, P Hayes, M Zhang, D Barber
arXiv preprint arXiv:2402.08114, 2024
2024
Diffusive Gibbs Sampling
W Chen, M Zhang, B Paige, JM Hernández-Lobato, D Barber
arXiv preprint arXiv:2402.03008, 2024
2024
Solipsistic Reinforcement Learning
M Zhang, PN Hayes, TZ Xiao, A Zhang, D Barber
Self-Supervision for Reinforcement Learning Workshop, ICLR 2021, 2021
2021
Identifying Informative Latent Variables Learned by GIN via Mutual Information
C Zhang, Y Sun, M Zhang
2020
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Articles 1–19