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07/21/2023
Attention to Entropic Communication
The concept of attention, numerical weights that emphasize the importanc...
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Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR)
Gaussian Processes (GPs) are highly expressive, probabilistic models. A ...
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10/28/2021
Probabilistic Autoencoder using Fisher Information
Neural Networks play a growing role in many science disciplines, includi...
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05/27/2021
Non-parametric Bayesian Causal Modeling of the SARS-CoV-2 Viral Load Distribution vs. Patient's Age
The viral load of patients infected with SARS-CoV-2 varies on logarithmi...
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05/21/2021
Geometric variational inference
Efficiently accessing the information contained in non-linear and high d...
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10/13/2020
Probabilistic simulation of partial differential equations
Computer simulations of differential equations require a time discretiza...
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Field dynamics inference for local and causal interactions
Complex systems with many constituents are often approximated in terms o...
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