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Found 4 papers, 1 papers with code
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Such architectures impose hard constraints on the model.
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks.
Smooth Online Parameter Estimation for time varying VAR models with application to rat's LFP data
For these reasons we propose a new smooth online parameter estimation approach (SOPE) that has the ability to control for the smoothness of the estimates with a reasonable computational complexity.
Time Series Analysis
Methodology
Computation
Other Statistics
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
We show that our method leads to substantially higher accuracy rate for neural decoding and allows to discover novel biological phenomena by providing a clear latent representation of the decoding process.
