This work, combining behavioural genetics and calcium imaging, provides evidence for a form of learning in Drosophila that derives solely from direct or (optogenetically induced) phantom experience of ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Abstract: 3D scene graph has emerged as a powerful high-level representation of the environment, and is considered a prerequisite for long-term autonomous robotic operations. However, building rich ...
[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.
Abstract: Multimodal 3D object detection significantly enhances perception by fusing LiDAR point clouds and RGB images. However, existing methods often fail to adaptively estimate modality confidence ...
This repository contains the PyTorch implementation of the paper "Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism", R.Subedi, L.Wei, W.Gao, S.Chakraborty., Y.Liu.
An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. A condition of publication in a Nature Portfolio journal is that authors ...
Drug–drug interactions (DDIs) present a significant challenge in clinical practice, as they may lead to adverse reactions, diminished therapeutic efficacy, and serious risks to patient safety. However ...
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