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07/03/2023
Before-after safety analysis of a shared space implementation
Shared spaces aim to reduce the dominance of motor vehicles by promoting...
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03/15/2023
Learning ground states of gapped quantum Hamiltonians with Kernel Methods
Neural network approaches to approximate the ground state of quantum ham...
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06/27/2022
Positive-definite parametrization of mixed quantum states with deep neural networks
We introduce the Gram-Hadamard Density Operator (GHDO), a new deep neura...
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06/24/2022
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks
We show that any matrix product state (MPS) can be exactly represented b...
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04/20/2022
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence
The evolution of High-Performance Computing (HPC) platforms enables the ...
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05/12/2021
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks
Efficient sampling of complex high-dimensional probability densities is ...
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10/30/2019
Neural networks trained with WiFi traces to predict airport passenger behavior
The use of neural networks to predict airport passenger activity choices...
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10/11/2017
Subdomain Deflation Combined with Local AMG: a Case Study Using AMGCL Library
The paper proposes a combination of the subdomain deflation method and l...
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10/11/2017