Zhang, Mingtian

15 publications

ICLR 2025 Improving Probabilistic Diffusion Models with Optimal Diagonal Covariance Matching Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber

ICLRW 2025 Towards Training One-Step Diffusion Models Without Distillation Mingtian Zhang, Jiajun He, Wenlin Chen, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber

AISTATS 2025 Training Neural Samplers with Reverse Diffusive KL Divergence Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato

ICML 2024 Active Preference Learning for Large Language Models William Muldrew, Peter Hayes, Mingtian Zhang, David Barber

NeurIPS 2024 Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective Andi Zhang, Mingtian Zhang, Damon Wischik

ICML 2024 Diffusive Gibbs Sampling Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber

NeurIPS 2024 Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth

NeurIPS 2023 Moment Matching Denoising Gibbs Sampling Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige, David Barber

AISTATS 2023 Spread Flows for Manifold Modelling Mingtian Zhang, Yitong Sun, Chen Zhang, Steven Mcdonagh

NeurIPS 2022 Generalization Gap in Amortized Inference Mingtian Zhang, Peter Hayes, David Barber

NeurIPSW 2022 OOD Detection with Class Ratio Estimation Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh

NeurIPSW 2022 Towards Healing the Blindness of Score Matching Mingtian Zhang, Oscar Key, Peter Hayes, David Barber, Brooks Paige, Francois-Xavier Briol

NeurIPS 2021 AFEC: Active Forgetting of Negative Transfer in Continual Learning Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong

NeurIPS 2021 On the Out-of-Distribution Generalization of Probabilistic Image Modelling Mingtian Zhang, Andi Zhang, Steven McDonagh

ICML 2020 Spread Divergence Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber