On some variance reduction properties of the reparameterization trick. - Ming Xu 015; Matias Quiroz; Robert Kohn; Scott A. Sisson (CoRR, 2018)

Variance reduction properties of the reparameterization trick. - Ming Xu 015; Matias Quiroz; Robert Kohn; Scott A. Sisson (AISTATS, 2019)

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. - Huu Le; Ming Xu 015; Tuan Hoang; Michael Milford (ICCV, 2019)

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition. - Stephen Hausler; Sourav Garg; Ming Xu 015; Michael Milford; Tobias Fischer 001 (CVPR, 2021)

Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models. - James Mount; Ming Xu 015; Les Dawes; Michael Milford (IEEE Robotics Autom. Lett., 2021)

Probabilistic Visual Place Recognition for Hierarchical Localization. - Ming Xu 015; Niko Sünderhauf; Michael Milford (IEEE Robotics Autom. Lett., 2021)

Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization". - Ming Xu 015; Niko Sünderhauf; Michael Milford (IEEE Robotics Autom. Lett., 2021)

Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness. - Ming Xu 015; Tobias Fischer 001; Niko Sünderhauf; Michael Milford (IEEE Robotics Autom. Lett., 2021)

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. - Krishan Rana; Ming Xu 015; Brendan Tidd; Michael Milford; Niko Sünderhauf (CoRL, 2022)

Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems. - Stephen Hausler; Ming Xu 015; Sourav Garg; Punarjay Chakravarty; Shubham Shrivastava; Ankit Vora; Michael Milford (IEEE Robotics Autom. Lett., 2022)

Improving Road Segmentation in Challenging Domains Using Similar Place Priors. - Connor Malone; Sourav Garg; Ming Xu 015; Thierry Peynot; Michael Milford (IEEE Robotics Autom. Lett., 2022)

Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. - Ming Xu 015; Sourav Garg; Michael Milford; Stephen Gould (ICLR, 2023)

VLAD-BuFF: Burst-Aware Fast Feature Aggregation for Visual Place Recognition. - Ahmad Khaliq; Ming Xu 015; Stephen Hausler; Michael Milford; Sourav Garg (ECCV (44), 2024)

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (ECCV (48), 2024)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (ICLR, 2024)

Can We Predict Performance of Large Models across Vision-Language Tasks? - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (CoRR, 2024)

DiSA: Diffusion Step Annealing in Autoregressive Image Generation. - Qinyu Zhao; Jaskirat Singh; Ming Xu 015; Akshay Asthana; Stephen Gould; Liang Zheng 001 (CoRR, 2025)