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20022026
most citedPractical Bayesian Optimization of Machine Learning Algorithms

5.7k citations

Showing 2024Show all

11 papers · 1 filter

q-bio.MN20245 cited

A lipidated peptide derived from the C-terminal tail of the vasopressin 2 receptor shows promise as a new -arrestin inhibitor

Rebecca L. Brouillette, Christine E. Mona, Michael Desgagné +9

-arrestins play pivotal roles in seven transmembrane receptor (7TMR) signalling and trafficking. To study their functional role in the regulation of specific receptor systems, c…

cs.RO20244 cited

Influence Vectors Control for Robots Using Cellular-like Binary Actuators

Alexandre Girard, Jean-Sébastien Plante

Robots using cellular-like redundant binary actuators could outmatch electric-gearmotor robotic systems in terms of reliability, force-to-weight ratio and cost. This paper presents…

cs.RO202478 cited

Memory Management for Real-Time Appearance-Based Loop Closure Detection

Mathieu Labbé, François Michaud

Loop closure detection is the process involved when trying to find a match between the current and a previously visited locations in SLAM. Over time, the amount of time required to…

cs.RO2024381 cited

Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM

Mathieu Labbe, François Michaud

For large-scale and long-term simultaneous localization and mapping (SLAM), a robot has to deal with unknown initial positioning caused by either the kidnapped robot problem or mul…

cs.RO2024377 cited

Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation

Mathieu Labbé, François Michaud

In appearance-based localization and mapping, loop closure detection is the process used to determinate if the current observation comes from a previously visited location or a new…

eess.AS20241 cited

Zero-Bit Transmission of Adaptive Pre- and De-emphasis Filters for Speech and Audio Coding

Niloofar Omidi Piralideh, Philippe Gournay, Roch Lefebvre

This paper introduces a novel adaptation approach for first-order pre- and de-emphasis filters, an essential tool in many speech and audio codecs to increase coding efficiency and…