output
19962026
most citedPlanck 2015 results. XIII. Cosmological parameters

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cs.LO2022

Tighter Bounds for Query Answering with Guarded TGDs

Antoine Amarilli, Michael Benedikt

We consider the complexity of the open-world query answering problem, where we wish to determine certain answers to conjunctive queries over incomplete datasets specified by an ini…

cs.LG2022★ 55 cited

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks

Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans +1

Graph Neural Networks (GNNs) have succeeded in various computer science applications, yet deep GNNs underperform their shallow counterparts despite deep learning's success in other…

stat.ML2022★ 3 cited

Vector-Valued Least-Squares Regression under Output Regularity Assumptions

Luc Brogat-Motte, Alessandro Rudi, Céline Brouard +2

We propose and analyse a reduced-rank method for solving least-squares regression problems with infinite dimensional output. We derive learning bounds for our method, and study und…

cs.LG2022

Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank

Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis +1

Graph Neural Networks (GNNs) have achieved great successes in many learning tasks performed on graph structures. Nonetheless, to propagate information GNNs rely on a message passin…

cs.CV2022

Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition

Jean-Rémy Conti, Stéphan Clémençon

The ROC curve is the major tool for assessing not only the performance but also the fairness properties of a similarity scoring function. In order to draw reliable conclusions base…

cs.LG2022★ 4 cited

Unbiased Supervised Contrastive Learning

Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione +2

Many datasets are biased, namely they contain easy-to-learn features that are highly correlated with the target class only in the dataset but not in the true underlying distributio…