793 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH5 papers
- Max Planck Institute for Intelligent SystemsDE5 papers
- University of AmsterdamNL5 papers
- University of PittsburghUS5 papers
- Max Planck SocietyDE4 papers
- Deakin UniversityAU3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- Imperial College LondonGB3 papers
- Intelligent Health (United Kingdom)GB3 papers
- Massachusetts Institute of TechnologyUS3 papers
- Seoul National UniversityKR3 papers
- Tsinghua UniversityCN3 papers
12 papers · 1 filter
Nonlinear unitary circuits for photonic neural networks
Sunkyu Yu, Xianji Piao, Namkyoo Park
Photonics has unlocked the potential for energy-efficient acceleration of deep learning. Most approaches toward photonic deep learning have diligently reproduced traditional deep l…
Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing
Simon Kohaut, Nikolas Hohmann, Sebastian Brulin +6
Advanced Aerial Mobility encompasses many outstanding applications that promise to revolutionize modern logistics and pave the way for various public services and industry uses. Ho…
Establishing Reality-Virtuality Interconnections in Urban Digital Twins for Superior Intelligent Road Inspection and Simulation
Yikang Zhang, Chuang-Wei Liu, Jiahang Li +3
Road inspection is crucial for maintaining road serviceability and ensuring traffic safety, as road defects gradually develop and compromise functionality. Traditional inspection m…
Volumetric B1+ field homogenization in 7 Tesla brain MRI using metasurface scattering
Gyoungsub Yoon, Sunkyu Yu, Jongho Lee +1
Ultrahigh field magnetic resonance imaging (UHF MRI) has become an indispensable tool for human brain imaging, offering excellent diagnostic accuracy while avoiding the risks assoc…
Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics
Mazyar Taghavi, Rahman Farnoosh
This paper investigates the utilization of Quantum Computing and Neuromorphic Computing for Safe, Reliable, and Explainable Multi_Agent Reinforcement Learning (MARL) in the context…
Explosive neural networks via higher-order interactions in curved statistical manifolds
Miguel Aguilera, Pablo A. Morales, Fernando E. Rosas +1
Higher-order interactions underlie complex phenomena in systems such as biological and artificial neural networks, but their study is challenging due to the scarcity of tractable m…
Optimal robust exact first-order differentiators with Lipschitz continuous output
Rodrigo Aldana-Lopez, Richard Seeber, Hernan Haimovich +1
The signal differentiation problem involves the development of algorithms that allow to recover a signal's derivatives from noisy measurements. This paper develops a first-order di…
k-space Physics-informed Neural Network (k-PINN) for Compressed Spectral Mapping and Efficient Inversion of Vibrations in Thin Composite Laminates
Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem +1
The vibrational response of structural components carries valuable information about their underlying mechanical properties, health status and operational conditions. This undersco…
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina
Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi +7
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagno…
A Masked language model for multi-source EHR trajectories contextual representation learning
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani +2
Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions betwe…
DCVSMNet: Double Cost Volume Stereo Matching Network
Mahmoud Tahmasebi, Saif Huq, Kevin Meehan +1
We introduce Double Cost Volume Stereo Matching Network(DCVSMNet) which is a novel architecture characterised by by two small upper (group-wise) and lower (norm correlation) cost v…
Single and Multi-Objective Real-Time Optimisation of an Industrial Injection Moulding Process via a Bayesian Adaptive Design of Experiment Approach
Mandana Kariminejad, David Tormey, Caitríona Ryan +3
Minimising cycle time without inducing quality defects is a major challenge in the injection moulding (IM). Design of Experiment methods (DoE) have been widely studied for optimisa…