We investigate the approximation efficiency of score functions by deep n...
Livestream e-commerce integrates live streaming and online shopping, all...
Sampling from the posterior is a key technical problem in Bayesian
stati...
We present ImageReward – the first general-purpose text-to-image human
p...
Due to the scarcity of available data, deep learning does not perform we...
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a challenging cross-...
Tensor decomposition serves as a powerful primitive in statistics and ma...
Visual Teach and Repeat 3 (VT R3), a generalization of stereo VT R, ...
We consider the problem of estimating the factors of a low-rank n × d
ma...
Frequency-Modulated Continuous-Wave (FMCW) lidar is a recently emerging
...
A substantial body of empirical work documents the lack of robustness in...
Radar is a rich sensing modality that is a compelling alternative to lid...
The Boreas dataset was collected by driving a repeated route over the co...
We consider a class of statistical estimation problems in which we are g...
The community detection problem requires to cluster the nodes of a netwo...
The potential benefits of model-free reinforcement learning to real robo...
Bottom-up algorithms such as the classic hierarchical agglomerative
clus...
Modern large-scale statistical models require to estimate thousands to
m...