Africa
Gács-Körner Common Information Variational Autoencoder
Data coming from different sensors often capture information related to common latent factors.
cdda0657a9f32bc7ddd4343686e7371e-Paper-Conference.pdf
The optimization phase in deep learning consists in minimizing an objective function w.r.t. the set of
AV ERI
Fact-checking is considered crucial for limiting the impact of misinformation [Lewandowsky et al.,
An information-theoretic quantification of the content of communication between brain regions
Quantifying the amount, content and direction of communication between brain regions is key to understanding brain function.
Equivariant Neural Operator Learning with Graphon Convolution
It is common that these data themselves have inherently complicated 3D geometric structures.
Equivariant Neural Operator Learning with Graphon Convolution
It is common that these data themselves have inherently complicated 3D geometric structures.
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
A prevalent intuition about such models is that the integration of relevant symmetry results in enhanced generalization.
Chatting Makes Perfect: Chat-based Image Retrieval
Extensive evaluations reveal the strong capabilities and examine the limitations of CharIR under different settings.
