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pro vyhledávání: '"Xu, Nathaniel"'
The Hilbert-Schmidt Independence Criterion (HSIC) is a powerful tool for nonparametric detection of dependence between random variables. It crucially depends, however, on the selection of reasonable kernels; commonly-used choices like the Gaussian ke
Externí odkaz:
http://arxiv.org/abs/2409.06890
Robust pedestrian trajectory forecasting is crucial to developing safe autonomous vehicles. Although previous works have studied adversarial robustness in the context of trajectory forecasting, some significant issues remain unaddressed. In this work
Externí odkaz:
http://arxiv.org/abs/2308.05985
Autor:
Xu, Nathaniel
Training energy-based models (EBMs) with noise-contrastive estimation (NCE) is theoretically feasible but practically challenging. Effective learning requires the noise distribution to be approximately similar to the target distribution, especially i
Externí odkaz:
http://arxiv.org/abs/2211.02650