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 Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
Journal of Machine Learning Research 21 (60), 1-6, 2020
Geometric Scattering for Graph Data Analysis
F Gao, G Wolf, M Hirn
International Conference on Machine Learning, 2019
Wavelet Scattering Regression of Quantum Chemical Energies
M Hirn, S Mallat, N Poilvert
Multiscale Modeling Simulation 15 (2), 827–863, 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
Diffusion maps for changing data
RR Coifman, MJ Hirn
Applied and Computational Harmonic Analysis 36 (1), 79-107, 2014
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
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
Time Coupled Diffusion Maps
NF Marshall, MJ Hirn
Applied and Computational Harmonic Analysis 45 (3), 709-728, 2016
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
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
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms
M Perlmutter, A Tong, F Gao, G Wolf, M Hirn
SIAM Journal on Mathematics of Data Science 5 (4), 873-898, 2023
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds
M Perlmutter, F Gao, G Wolf, M Hirn
Mathematical and Scientific Machine Learning, 570-604, 2020
Spatio-Temporal Graph Convolutional Networks for Earthquake Source Characterization
X Zhang, W Reichard-Flynn, M Zhang, M Hirn, Y Lin
Earth and Space Science Open Archive, 2022
Bi-stochastic kernels via asymmetric affinity functions
RR Coifman, MJ Hirn
Applied and Computational Harmonic Analysis 35 (1), 177-180, 2013
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
Single-cell analysis reveals inflammatory interactions driving macular degeneration
M Kuchroo, M DiStasio, E Song, E Calapkulu, L Zhang, M Ige, AH Sheth, ...
Nature Communications 14 (1), 2589, 2023
Coarse Graining of Data via Inhomogeneous Diffusion Condensation
N Brugnone, A Gonopolskiy, MW Moyle, M Kuchroo, D van Dijk, KR Moon, ...
2019 IEEE International Conference on Big Data (Big Data), 2624-2633, 2019
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