4 papers
Compact Object-Level Representations with Open-Vocabulary Understanding for Indoor Visual Relocalization
Zhaopeng Cui, Jiarui Hu, Jingbo Liu +7
Indoor visual relocalization plays a critical role in emerging spatial and embodied AI applications. However, prior research was predominantly devoted to low-level vision schemes,…
Smoothed Score Queries and the Complexity of Sampling
Jingbo Liu
We study the query complexity of sampling from high-dimensional Gaussian distributions using gradient information. In the standard oracle model, exact gradients expose only matrix-…
Fast and Efficient Parallel Sampling Using Higher Order Langevin Dynamics
Jaideep Mahajan, Kaihong Zhang, Feng Liang +1
We study parallel sampling from high-dimensional strongly log-concave distributions. Langevin-based samplers converge rapidly in continuous time, but their discretizations are typi…
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
Kaihong Zhang, Caitlyn H. Yin, Feng Liang +1
We study the asymptotic error of score-based diffusion model sampling in large-sample scenarios from a non-parametric statistics perspective. We show that a kernel-based score esti…