
Towards a Computer Vision Particle Flow
In high energy physics experiments Particle Flow (PFlow) algorithms are ...
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Algebraic Image Processing
We propose an approach to image processing related to algebraic operator...
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Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems
Neuromorphic chips embody computational principles operating in the nerv...
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Quantum Pattern Retrieval by Qubit Networks with Hebb Interactions
Qubit networks with longrange interactions inspired by the Hebb rule ca...
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The backtracking survey propagation algorithm for solving random KSAT problems
Discrete combinatorial optimization has a central role in many scientifi...
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Gaussian and exponential lateral connectivity on distributed spiking neural network simulation
We measured the impact of longrange exponentially decaying intraareal ...
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The Brain on Low Power Architectures  Efficient Simulation of Cortical Slow Waves and Asynchronous States
Efficient brain simulation is a scientific grand challenge, a parallel/d...
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Large Scale Low Power Computing System  Status of Network Design in ExaNeSt and EuroExa Projects
The deployment of the next generation computing platform at ExaFlops sca...
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Effect of dilution in asymmetric recurrent neural networks
We study with numerical simulation the possible limit behaviors of synch...
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Dreaming neural networks: forgetting spurious memories and reinforcing pure ones
The standard Hopfield model for associative neural networks accounts for...
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Towards new solutions for scientific computing: the case of Julia
This year marks the consolidation of Julia (https://julialang.org/), a p...
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Realtime cortical simulations  Energy and interconnect scaling on distributed systems
We profile the impact of computation and interprocessor communication o...
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Dreaming neural networks: rigorous results
Recently a daily routine for associative neural networks has been propos...
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Counting the learnable functions of structured data
Cover's function counting theorem is a milestone in the theory of artifi...
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Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)
Over the years, there has been growing interest in using Machine Learnin...
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Power Gradient Descent
The development of machine learning is promoting the search for fast and...
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CoreCollapse Supernova GravitationalWave Search and Deep Learning Classification
We describe a search and classification procedure for gravitational wave...
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Proofs of nonoptimality of the standard leastsquares method for track reconstructions
It is a standard criterium in statistics to define an optimal estimator ...
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TURBRot. A large database of 3d and 2d snapshots from turbulent rotating flows
We present TURBRot, a new open database of 3d and 2d snapshots of turbu...
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Optimal control of pointtopoint navigation in turbulent timedependent flows using Reinforcement Learning
We present theoretical and numerical results concerning the problem to f...
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INFN
The Istituto Nazionale di Fisica Nucleare is the coordinating institution for nuclear, particle and astroparticle physics in Italy.