
Diffusion Earth Mover's Distance and Distribution Embeddings
We propose a new fast method of measuring distances between large number...
read it

Multimodal data visualization, denoising and clustering with integrated diffusion
We propose a method called integrated diffusion for combining multimodal...
read it

Visualizing HighDimensional Trajectories on the LossLandscape of ANNs
Training artificial neural networks requires the optimization of highly ...
read it

Geometric Scattering Attention Networks
Geometric scattering has recently gained recognition in graph representa...
read it

DataDriven Learning of Geometric Scattering Networks
Graph neural networks (GNNs) in general, and graph convolutional network...
read it

Extendable and invertible manifold learning with geometry regularized autoencoders
A fundamental task in data exploration is to extract simplified low dime...
read it

Advantages of biologicallyinspired adaptive neural activation in RNNs during learning
Dynamic adaptation in singleneuron response plays a fundamental role in...
read it

Supervised Visualization for Data Exploration
Dimensionality reduction is often used as an initial step in data explor...
read it

Uncovering the Topology of TimeVarying fMRI Data using Cubical Persistence
Functional magnetic resonance imaging (fMRI) is a crucial technology for...
read it

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
Biomolecular graph analysis has recently gained much attention in the em...
read it

Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Graph convolutional networks (GCNs) have shown promising results in proc...
read it

Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
We introduce a novel approach to optimize the architecture of deep neura...
read it

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
It is increasingly common to encounter data from dynamic processes captu...
read it

Internal representation dynamics and geometry in recurrent neural networks
The efficiency of recurrent neural networks (RNNs) in dealing with seque...
read it

Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
The scattering transform is a multilayered waveletbased deep learning a...
read it

Coarse Graining of Data via Inhomogeneous Diffusion Condensation
Big data often has emergent structure that exists at multiple levels of ...
read it

Visualizing High Dimensional Dynamical Processes
Manifold learning techniques for dynamical systems and time series have ...
read it

A Lipschitzconstrained anomaly discriminator framework
Anomaly detection is a problem of great interest in medicine, finance, a...
read it

Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds
The Euclidean scattering transform was introduced nearly a decade ago to...
read it

Compressed Diffusion
Diffusion maps are a commonly used kernelbased method for manifold lear...
read it

Finding Archetypal Spaces for Data Using Neural Networks
Archetypal analysis is a type of factor analysis where data is fit by a ...
read it

Geometric Scattering on Manifolds
We present a mathematical model for geometric deep learning based upon a...
read it

Graph Classification with Geometric Scattering
One of the most notable contributions of deep learning is the applicatio...
read it

Graph Spectral Regularization for Neural Network Interpretability
Deep neural networks can learn meaningful representations of data. Howev...
read it

Manifold Alignment with Feature Correspondence
We propose a novel framework for combining datasets via alignment of the...
read it

GeometryBased Data Generation
Many generative models attempt to replicate the density of their input d...
read it

Modeling Dynamics with Deep TransitionLearning Networks
Markov processes, both classical and higher order, are often used to mod...
read it

Diffusion Representations
Diffusion Maps framework is a kernel based method for manifold learning ...
read it
Guy Wolf
is this you? claim profile