Search Results for author:
Found 4 papers, 2 papers with code
Robust Diffusion Models for Adversarial Purification
We propose a novel robust reverse process with adversarial guidance, which is independent of given pre-trained DMs and avoids retraining or fine-tuning the DMs.
Efficient Nonparametric Tensor Decomposition for Binary and Count Data
Finally, to address the computational issue of GPs, we enhance the model by incorporating sparse orthogonal variational inference of inducing points, which offers a more effective covariance approximation within GPs and stochastic natural gradient updates for nonparametric models.
Permutation Search of Tensor Network Structures via Local Sampling
Recent works put much effort into tensor network structure search (TN-SS), aiming to select suitable tensor network (TN) structures, involving the TN-ranks, formats, and so on, for the decomposition or learning tasks.
Graph-Constrained Structure Search for Tensor Network Representation
Recent works paid effort on the structure search issue for tensor network (TN) representation, of which the aim is to select the optimal network for TN contraction to fit a tensor.
