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02/10/2023
Graph Neural Networks Go Forward-Forward
We present the Graph Forward-Forward (GFF) algorithm, an extension of th...
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01/18/2023
Learning Deformation Trajectories of Boltzmann Densities
We introduce a training objective for continuous normalizing flows that ...
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10/25/2022
Deformation Theory of Boltzmann Distributions
Consider a one-parameter family of Boltzmann distributions p_t(x) = 1Z_t...
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05/30/2022
Flowification: Everything is a Normalizing Flow
We develop a method that can be used to turn any multi-layer perceptron ...
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03/01/2022
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators
This paper explores the advantages of optimizing quantum circuits on N w...
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02/10/2022
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Deep learning methods have gained popularity in high energy physics for ...
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09/08/2021
