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Found 7 papers, 2 papers with code
CHORUS: Foundation Models for Unified Data Discovery and Exploration
On all three tasks, we show that a foundation-model-based approach outperforms the task-specific models and so the state of the art.
On algorithmically boosting fixed-point computations
Secondly, we restrict attention to convergent linear maps (for computing dominant eigenvectors, for example, in the PageRank algorithm) and show that our algorithmic boosting method can set in motion {\em exponential speedups in the convergence rate}.
Multi-way Interacting Regression via Factorization Machines
We propose a Bayesian regression method that accounts for multi-way interactions of arbitrary orders among the predictor variables.
Practical Attacks Against Graph-based Clustering
Graph modeling allows numerous security problems to be tackled in a general way, however, little work has been done to understand their ability to withstand adversarial attacks.
ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution
Entity resolution (ER), an important and common data cleaning problem, is about detecting data duplicate representations for the same external entities, and merging them into single representations.
ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution
Entity resolution (ER), an important and common data cleaning problem, is about detecting data duplicate representations for the same external entities, and merging them into single representations.
Spectrum of Fractal Interpolation Functions
In this paper we compute the Fourier spectrum of the Fractal Interpolation Functions FIFs as introduced by Michael Barnsley.
Information Theory Information Theory
