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12/02/2022
On the optimal rank-1 approximation of matrices in the Chebyshev norm
The problem of low rank approximation is ubiquitous in science. Traditio...
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01/28/2022
On the algorithm of best approximation by low rank matrices in the Chebyshev norm
The low-rank matrix approximation problem is ubiquitous in computational...
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06/08/2020
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models
Since collecting pixel-level groundtruth data is expensive, unsupervised...
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10/08/2019
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Learning useful representations is a key ingredient to the success of mo...
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10/08/2019
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs
Learning useful representations is a key ingredient to the success of mo...
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09/13/2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Nowadays, deep neural networks (DNNs) have become the main instrument fo...
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08/19/2019
Relevance Proximity Graphs for Fast Relevance Retrieval
In plenty of machine learning applications, the most relevant items for ...
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08/11/2019