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09/09/2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
Recent research indicates that the performance of machine learning model...
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09/09/2023
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces
Recent studies propose enhancing machine learning models by aligning the...
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08/18/2023
Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures
We study the representation capacity of deep hyperbolic neural networks ...
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03/21/2023
Projections of Model Spaces for Latent Graph Inference
Graph Neural Networks leverage the connectivity structure of graphs as a...
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11/26/2022
Latent Graph Inference using Product Manifolds
Graph Neural Networks usually rely on the assumption that the graph topo...
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09/24/2022
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression
We demonstrate the applicability of model-agnostic algorithms for meta-l...
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06/17/2022
Sheaf Neural Networks with Connection Laplacians
A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) tha...
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11/26/2021
Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks
Memory replay may be key to learning in biological brains, which manage ...
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10/30/2021
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
The Reynolds-averaged Navier-Stokes (RANS) equations require accurate mo...
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04/19/2021
