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09/12/2023
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels
Convolution is a fundamental operation in image processing and machine l...
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12/01/2022
On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning
We shed light on a pitfall and an opportunity in physics-informed neural...
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09/09/2022
Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data
In this work we present affinity-VAE: a framework for automatic clusteri...
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03/16/2022
Discovering the building blocks of dark matter halo density profiles with neural networks
The density profiles of dark matter halos are typically modeled using em...
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02/20/2022
Disentangling Autoencoders (DAE)
Noting the importance of factorizing or disentangling the latent space, ...
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10/25/2021
Scientific Machine Learning Benchmarks
The breakthrough in Deep Learning neural networks has transformed the us...
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11/20/2020
