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Found 10 papers, 2 papers with code
Scalable and Robust Tensor Ring Decomposition for Large-scale Data
Tensor ring (TR) decomposition has recently received increased attention due to its superior expressive performance for high-order tensors.
Distributionally Robust Domain Adaptation
Domain Adaptation (DA) has recently received significant attention due to its potential to adapt a learning model across source and target domains with mismatched distributions.
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks
In particular, we reduce the combinatorial optimization problem to a neural network and employ a dataless training scheme to refine the parameters of the network such that those parameters yield the structure of interest.
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
To this end, we present a problem that encodes objectives on the distance between the desired and output distributions of the trained model and the similarity between such inputs and the synthesized examples.
Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data
To efficiently mitigate the effect of a large number of outliers on tensor recovery, we develop a new M-estimator-based robust tensor ring recovery method which can adaptively identify the outliers and alleviate their negative effect in the optimization.
Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery
In applications where the data arrives sequentially such as streaming video completion, the missing entries of the tensor need to be dynamically recovered in a streaming fashion.
Steady-State Planning in Expected Reward Multichain MDPs
In this paper, we explore this steady-state planning problem that consists of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
The goal of tensor completion is to recover a tensor from a subset of its entries, often by exploiting its low-rank property.
Sketch-based community detection in evolving networks
We present a new standardized benchmark based on the stochastic block model which models the addition and deletion of nodes, as well as the birth and death of communities.
Multi-modal Non-line-of-sight Passive Imaging
The wall scatters incident light such that a lens is no longer useful to form an image.
