Search Results for author: Raúl Santos-Rodríguez

Found 6 papers, 0 papers with code

Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers

no code implementations8 Aug 2022 Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández-Martínez

By training a simple, more interpretable model to locally approximate the decision boundary of a non-interpretable system, we can estimate the relative importance of the input features on the prediction.

Ordinal Regression as Structured Classification

no code implementations31 May 2019 Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez

This paper extends the class of ordinal regression models with a structured interpretation of the problem by applying a novel treatment of encoded labels.

Classification General Classification +1

Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information

no code implementations24 May 2019 Bo Kang, Darío García García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie

Dimensionality reduction and manifold learning methods such as t-Distributed Stochastic Neighbor Embedding (t-SNE) are routinely used to map high-dimensional data into a 2-dimensional space to visualize and explore the data.

Dimensionality Reduction

Neural ODEs with stochastic vector field mixtures

no code implementations23 May 2019 Niall Twomey, Michał Kozłowski, Raúl Santos-Rodríguez

It was recently shown that neural ordinary differential equation models cannot solve fundamental and seemingly straightforward tasks even with high-capacity vector field representations.

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