Matthew Hirn
Cited by
Cited by
Visualizing structure and transitions in high-dimensional biological data
KR Moon, D van Dijk, Z Wang, S Gigante, DB Burkhardt, WS Chen, K Yim, ...
Nature Biotechnology 37 (12), 1482-1492, 2019
Kymatio: Scattering transforms in python
M Andreux, T Angles, G Exarchakisgeo, R Leonardu, G Rochette, L Thiry, ...
The Journal of Machine Learning Research 21 (1), 2256-2261, 2020
Wavelet Scattering Regression of Quantum Chemical Energies
M Hirn, S Mallat, N Poilvert
Multiscale Modeling Simulation 15 (2), 827–863, 2017
Diffusion maps for changing data
RR Coifman, MJ Hirn
Applied and Computational Harmonic Analysis 36 (1), 79-107, 2014
Geometric Scattering for Graph Data Analysis
F Gao, G Wolf, M Hirn
International Conference on Machine Learning, 2019
Solid harmonic wavelet scattering for predictions of molecule properties
M Eickenberg, G Exarchakis, M Hirn, S Mallat, L Thiry
The Journal of Chemical Physics 148 (24), 241732, 2018
Solid harmonic wavelet scattering: Predicting quantum molecular energy from invariant descriptors of 3D electronic densities
M Eickenberg, G Exarchakis, M Hirn, S Mallat
Advances in Neural Information Processing Systems 30, 2017
Magnet: A neural network for directed graphs
X Zhang, Y He, N Brugnone, M Perlmutter, M Hirn
Advances in Neural Information Processing Systems 34, 2021
Time Coupled Diffusion Maps
NF Marshall, MJ Hirn
Applied and Computational Harmonic Analysis 45 (3), 709-728, 2016
CATMoS: Collaborative acute toxicity modeling suite
K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, ...
Environmental Health Perspectives 129 (4), 047013, 2021
Quantum Energy Regression using Scattering Transforms
M Hirn, N Poilvert, S Mallat
arXiv preprint arXiv:1502.02077, 2015
A general theorem of existence of quasi absolutely minimal Lipschitz extensions
MJ Hirn, EY Le Gruyer
Mathematische Annalen 359, 595-628, 2014
Multiscale PHATE identifies multimodal signatures of COVID-19
M Kuchroo, J Huang, P Wong, JC Grenier, D Shung, A Tong, C Lucas, ...
Nature Biotechnology 40 (5), 681-691, 2022
Bi-stochastic kernels via asymmetric affinity functions
RR Coifman, MJ Hirn
Applied and Computational Harmonic Analysis 35 (1), 177-180, 2013
Computing minimal interpolants in
A Herbert-Voss, MJ Hirn, F McCollum
Revista Matemática Iberoamericana 33 (1), 29-66, 2017
Wavelet Packets for multi-and hyper-spectral imagery
JJ Benedetto, W Czaja, M Ehler, C Flake, M Hirn
IS&T/SPIE Electronic Imaging, 753508-753508-11, 2010
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds
M Perlmutter, F Gao, G Wolf, M Hirn
Mathematical and Scientific Machine Learning, 570-604, 2020
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
M Perlmutter, F Gao, G Wolf, M Hirn
arXiv preprint arXiv:1911.06253, 2019
Wavelet scattering networks for atomistic systems with extrapolation of material properties
P Sinz, MW Swift, X Brumwell, J Liu, KJ Kim, Y Qi, M Hirn
The Journal of Chemical Physics 153 (8), 084109, 2020
Frame based kernel methods for automatic classification in hyperspectral data
JJ Benedetto, W Czaja, JC Flake, M Hirn
2009 IEEE International Geoscience and Remote Sensing Symposium 4, IV-697-IV-700, 2009
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Articles 1–20