Matthew Hirn

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	All	Since 2019
Citations	2492	2249
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i10-index	30	25

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Guy WolfUniversité de Montréal; MilaVerified email at umontreal.ca
Smita KrishnaswamyYale UniversityVerified email at yale.edu
Kevin R. MoonUtah State UniversityVerified email at usu.edu
Ronald Coifmanprofessor of mathematics yale universityVerified email at math.yale.edu
Michael PerlmutterDepartment of Mathematics, Boise State UniversityVerified email at boisestate.edu
Daniel B BurkhardtCellarity - Machine Learning ScientistVerified email at cellarity.com
David van DijkAssistant Professor, Yale UniversityVerified email at yale.edu
Natalia IvanovaUniversity of GeorgiaVerified email at uga.edu
Scott GiganteFounding Engineer, CTVCVerified email at ctvc.co
Stephane MallatProfesseur de Mathématiques Appliquées et Informatique, École Normale SupérieureVerified email at ens.fr
Georgios ExarchakisUniversity of BathVerified email at bath.ac.uk
Feng GaoUniversity of California, Los AngelesVerified email at ucla.edu
Xitong ZhangQualcommVerified email at msu.edu
Nathan BrugnoneResearch Scientist, Two Six TechnologiesVerified email at msu.edu
William S ChenUniversity of California San FranciscoVerified email at ucsf.edu
Louis THIRYPhD at ENS Paris, ERC STUOD Postdoc INRIA RennesVerified email at ens.fr
Bastian RieckProfessor, AIDOS Lab, University of FribourgVerified email at unifr.ch
Anna LittleComputational Mathematics, Science, and Engineering, Michigan State UniversityVerified email at msu.edu
Yixuan HeArizona State UniversityVerified email at stats.ox.ac.uk
Alexander TongMila; Université de MontréalVerified email at mila.quebec

Matthew Hirn

Citadel LLC

Verified email at citadel.com - Homepage

Computational harmonic analysis Harmonic analysis Machine learning Many body physics Deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	960*	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	185	2020
Geometric Scattering for Graph Data Analysis F Gao, G Wolf, M Hirn International Conference on Machine Learning, 2019	139	2019
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	123	2021
Wavelet Scattering Regression of Quantum Chemical Energies M Hirn, S Mallat, N Poilvert Multiscale Modeling Simulation 15 (2), 827–863, 2017	122	2017
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	106	2021
Diffusion maps for changing data RR Coifman, MJ Hirn Applied and Computational Harmonic Analysis 36 (1), 79-107, 2014	105	2014
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	92	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	76*	2017
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	53	2022
Time Coupled Diffusion Maps NF Marshall, MJ Hirn Applied and Computational Harmonic Analysis 45 (3), 709-728, 2016	51*	2016
Quantum Energy Regression using Scattering Transforms M Hirn, N Poilvert, S Mallat arXiv preprint arXiv:1502.02077, 2015	38	2015
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	35	2022
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	32	2023
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	30	2023
A general theorem of existence of quasi absolutely minimal Lipschitz extensions MJ Hirn, EY Le Gruyer Mathematische Annalen 359, 595-628, 2014	30	2014
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds M Perlmutter, F Gao, G Wolf, M Hirn Mathematical and Scientific Machine Learning, 570-604, 2020	29	2020
Accurately modeling biased random walks on weighted networks using node2vec+ R Liu, M Hirn, A Krishnan Bioinformatics 39 (1), btad047, 2023	25	2023
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	25	2010
Bi-stochastic kernels via asymmetric affinity functions RR Coifman, MJ Hirn Applied and Computational Harmonic Analysis 35 (1), 177-180, 2013	24	2013

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