output
20062025
most citedRiver: machine learning for streaming data in Python

160 citations

Showing 2023Show all

9 papers · 1 filter

math.OC2023★ 1 cited

Graph-Based Convexification of Nested Signal Temporal Logic Constraints for Trajectory Optimization

Thomas Claudet, Davide Martire, Damiana Losa +2

Optimizing high-level mission planning constraints is traditionally solved in exponential time and requires to split the problem into several ones, making the connections between t…

cs.CV2023

Read, look and detect: Bounding box annotation from image-caption pairs

Eduardo Hugo Sanchez

Various methods have been proposed to detect objects while reducing the cost of data annotation. For instance, weakly supervised object detection (WSOD) methods rely only on image-…

cs.CV2023★ 1 cited

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

Drew Linsley, Pinyuan Feng, Thibaut Boissin +4

Deep neural networks (DNNs) are known to have a fundamental sensitivity to adversarial attacks, perturbations of the input that are imperceptible to humans yet powerful enough to c…

math.ST2023★ 1 cited

Multilevel Surrogate-based Control Variates

Mohamed Reda El Amri, Paul Mycek, Sophie Ricci +1

Monte Carlo (MC) sampling is a popular method for estimating the statistics (e.g. expectation and variance) of a random variable. Its slow convergence has led to the emergence of a…

cs.CL2023★ 1 cited

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks

Fanny Jourdan, Agustin Picard, Thomas Fel +3

Transformer architectures are complex and their use in NLP, while it has engendered many successes, makes their interpretability or explainability challenging. Recent debates have…

cs.CV2023★ 7 cited

LARD -- Landing Approach Runway Detection -- Dataset for Vision Based Landing

Mélanie Ducoffe, Maxime Carrere, Léo Féliers +4

As the interest in autonomous systems continues to grow, one of the major challenges is collecting sufficient and representative real-world data. Despite the strong practical and c…