Matthew J. Hirn

According to our database1, Matthew J. Hirn authored at least 21 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Kymatio: Scattering Transforms in Python.
J. Mach. Learn. Res., 2020

Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties.
CoRR, 2020

2019
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms.
CoRR, 2019

Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
CoRR, 2019

Geometric Scattering for Graph Data Analysis.
Proceedings of the 36th International Conference on Machine Learning, 2019

Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

2018
Kymatio: Scattering Transforms in Python.
CoRR, 2018

Geometric Scattering on Manifolds.
CoRR, 2018

Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction.
CoRR, 2018

Graph Classification with Geometric Scattering.
CoRR, 2018

Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.
CoRR, 2018

2017
Wavelet Scattering Regression of Quantum Chemical Energies.
Multiscale Model. Simul., 2017

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Time Coupled Diffusion Maps.
CoRR, 2016

2015
Quantum Energy Regression using Scattering Transforms.
CoRR, 2015

2014
Frames for subspaces of $\mathbb{C}^N$.
CoRR, 2014

Computing minimal interpolants in $C^{1, 1}(\mathbb{R}^d)$.
CoRR, 2014

2012
Diffusion maps for changing data
CoRR, 2012

Bi-stochastic kernels via asymmetric affinity functions
CoRR, 2012

Sparse endmember extraction and demixing.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2009
Frame based Kernel Methods for Automatic Classification in Hyperspectral Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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