From the 1 of 4.4k papers with an AI index.
29.3k citations
- Centre National de la Recherche ScientifiqueFR714 papers
- Paul Scherrer InstituteCH464 papers
- University of ZurichCH426 papers
- California Institute of TechnologyUS401 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR359 papers
- Lyon 1 UniversitéFR330 papers
- CEA Paris-SaclayFR322 papers
- Institute for High Energy PhysicsES310 papers
- European Organization for Nuclear ResearchCH308 papers
- Princeton UniversityUS304 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT295 papers
- Massachusetts Institute of TechnologyUS290 papers
353 papers · 1 filter
DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani, Frédérick Gusset +1
Designing a convolution for a spherical neural network requires a delicate tradeoff between efficiency and rotation equivariance. DeepSphere, a method based on a graph representati…
Efficient partitioning of surface Green's function: toward ab initio contact resistance study
Guido Gandus, Youseung Lee, Daniele Passerone +1
In this work, we propose an efficient computational scheme for first-principle quantum transport simulations to evaluate the open-boundary conditions. Its partitioning differentiat…
Self-consistent harmonic approximation with non-local couplings
Guido Giachetti, Nicolo Defenu, Stefano Ruffo +1
We derive the self-consistent harmonic approximation for the XY model with non-local interactions. The resulting equation for the variational couplings holds for any form of t…
Simulation of Intravoxel Incoherent Perfusion Signal Using a Realistic Capillary Network of a Mouse Brain
Valerie Phi van, Franca Schmid, Georg Spinner +2
Purpose: To simulate the intravoxel incoherent perfusion magnetic resonance magnitude signal from the motion of blood particles in three realistic vascular network graphs from a mo…
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Chang Gao, Antonio Rios-Navarro, Xi Chen +2
Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for real-time applications such as IoT, robotics, and human-machin…
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Susie Xi Rao, Shuai Zhang, Zhichao Han +6
Massive account registration has raised concerns on risk management in e-commerce companies, especially when registration increases rapidly within a short time frame. To monitor th…