115 citations
- Massachusetts Institute of TechnologyUS2 papers
- Politecnico di MilanoIT2 papers
- ABB (Switzerland)CH1 paper
- Carnegie Mellon UniversityUS1 paper
- Chulalongkorn UniversityTH1 paper
- Czech Academy of SciencesCZ1 paper
- Greater Boston Interfaith OrganizationUS1 paper
- Heidelberg UniversityDE1 paper
- Humboldt-Universität zu BerlinDE1 paper
- Institute for Nuclear ResearchRU1 paper
- Istituto Nazionale di Fisica NucleareIT1 paper
- Johannes Gutenberg University MainzDE1 paper
6 papers
First constraints on general neutrino interactions based on KATRIN data
M. Aker, D. Batzler, A. Beglarian +130
The precision measurement of the tritium -decay spectrum performed by the KATRIN experiment provides a unique way to search for general neutrino interactions (GNI). All theoreti…
Hybrid Imitation-Learning Motion Planner for Urban Driving
Cristian Gariboldi, Matteo Corno, Beng Jin
With the release of open source datasets such as nuPlan and Argoverse, the research around learning-based planners has spread a lot in the last years. Existing systems have shown e…
The Twin-in-the-Loop approach for vehicle dynamics control
Federico Dettù, Simone Formentin, Sergio Matteo Savaresi
In vehicle dynamics control, engineering a suitable regulator is a long and costly process. The starting point is usually the design of a nominal controller based on a simple contr…
Development and Validation of a Scalable Fast Load Shedding Technique for Industrial Power Systems
Andrea Petriccioli, Samuele Grillo, David Comunello +1
The work aims to improve the existing fast load shedding algorithm for industrial power system to increase performance, reliability, and scalability for future expansions. The pape…
Superconducting nanowire detector jitters limited by detector geometry
Niccolò Calandri, Qing-Yuan Zhao, Di Zhu +2
Detection jitter quantifies variance introduced by the detector in the determination of photon arrival time. It is a crucial performance parameter for systems using superconducting…
A new protein binding pocket similarity measure based on comparison of 3D atom clouds: application to ligand prediction
Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert +1
Motivation: Prediction of ligands for proteins of known 3D structure is important to understand structure-function relationship, predict molecular function, or design new drugs. Re…