output
19922026
most citedPractical Bayesian Optimization of Machine Learning Algorithms

5.7k citations

1,405 papers

eess.IV2026

The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

Olivier Bernard, William A. Romero R., Cyprien Bouton +24

Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…

astro-ph.IM2026

96 kHz on-sky imaging on an adaptive optics system with a single-photon avalanche diode

Theodore A. Grosson, Maaike A. M. van Kooten, Kathryn Jackson +2

Astronomical observations requiring extremely high angular resolution necessitate advanced adaptive optics (AO) systems to overcome blurring caused by the atmosphere. In addition t…

quant-ph2026

Quantum error correction of a grid-state qubit with state preparation and measurement errors below

Sara Turcotte, Lucas St-Jean, Amélie L. Pessonneaux +10

Grid state qubits offer a hardware-efficient approach to large-scale fault-tolerant quantum computing. They access the information redundancy required for quantum error correction…

cs.RO2026★ 15 cited

RRT-Rope: A deterministic shortening approach for fast near-optimal path planning in large-scale uncluttered 3D environments

Louis Petit, Alexis Lussier Desbiens

Many path planning algorithms have been introduced so far, but most are costly, in path cost and in processing time, in large-scale uncluttered 3D environments such as underground…

cs.RO2026★ 18 cited

TAPE: Tether-Aware Path Planning for Autonomous Exploration of Unknown 3D Cavities Using a Tangle-Compatible Tethered Aerial Robot

Louis Petit, Alexis Lussier Desbiens

This letter presents the first method for autonomous exploration of unknown cavities in three dimensions (3D) that focuses on minimizing the distance traveled and the length of tet…

cs.RO2026★ 5 cited

MOAR Planner: Multi-Objective and Adaptive Risk-Aware Path Planning for Infrastructure Inspection with a UAV

Louis Petit, Alexis Lussier Desbiens

The problem of autonomous navigation for UAV inspection remains challenging as it requires effectively navigating in close proximity to obstacles, while accounting for dynamic risk…