Clik here to view.
Frame based Kernel Methods for Automatic Classification in Hyperspectral Data.
John J. Benedetto, Wojciech Czaja, Justin Flake, Matthew J. Hirn: Frame based Kernel Methods for Automatic Classification in Hyperspectral Data. IGARSS (4) 2009: 697-700
View ArticleClik here to view.
Diffusion maps for changing data.
Ronald R. Coifman, Matthew J. Hirn: Diffusion maps for changing data. CoRR abs/1209.0245 (2012)
View ArticleClik here to view.
Bi-stochastic kernels via asymmetric affinity functions.
Ronald R. Coifman, Matthew J. Hirn: Bi-stochastic kernels via asymmetric affinity functions. CoRR abs/1209.0237 (2012)
View ArticleClik here to view.
Sparse endmember extraction and demixing.
Martin Ehler, Matthew J. Hirn: Sparse endmember extraction and demixing. IGARSS 2012: 1385-1388
View ArticleClik here to view.
Computing minimal interpolants in $C^{1, 1}(\mathbb{R}^d)$.
Ariel Herbert-Voss, Matthew J. Hirn, Frederick McCollum: Computing minimal interpolants in $C^{1, 1}(\mathbb{R}^d)$. CoRR abs/1411.5668 (2014)
View ArticleClik here to view.
Frames for subspaces of $\mathbb{C}^N$.
Matthew J. Hirn, David P. Widemann: Frames for subspaces of $\mathbb{C}^N$. CoRR abs/1410.5206 (2014)
View ArticleClik here to view.
Quantum Energy Regression using Scattering Transforms.
Matthew J. Hirn, Nicolas Poilvert, Stéphane Mallat: Quantum Energy Regression using Scattering Transforms. CoRR abs/1502.02077 (2015)
View ArticleClik here to view.
Time Coupled Diffusion Maps.
Nicholas F. Marshall, Matthew J. Hirn: Time Coupled Diffusion Maps. CoRR abs/1608.03628 (2016)
View ArticleClik here to view.
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from...
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat: Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities....
View ArticleClik here to view.
Wavelet Scattering Regression of Quantum Chemical Energies.
Matthew J. Hirn, Stéphane Mallat, Nicolas Poilvert: Wavelet Scattering Regression of Quantum Chemical Energies. Multiscale Model. Simul. 15(2): 827-863 (2017)
View ArticleClik here to view.
Kymatio: Scattering Transforms in Python.
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen,...
View ArticleClik here to view.
Geometric Scattering on Manifolds.
Michael Perlmutter, Guy Wolf, Matthew J. Hirn: Geometric Scattering on Manifolds. CoRR abs/1812.06968 (2018)
View ArticleClik here to view.
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si...
Xavier Brumwell, Paul Sinz, Kwang Jin Kim, Yue Qi, Matthew J. Hirn: Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction. CoRR abs/1812.02320 (2018)
View ArticleClik here to view.
Graph Classification with Geometric Scattering.
Feng Gao, Guy Wolf, Matthew J. Hirn: Graph Classification with Geometric Scattering. CoRR abs/1810.03068 (2018)
View ArticleClik here to view.
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry: Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR abs/1805.00571 (2018)
View ArticleClik here to view.
Understanding Graph Neural Networks with Asymmetric Geometric Scattering...
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn: Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms. CoRR abs/1911.06253 (2019)
View ArticleClik here to view.
Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy: Coarse Graining of Data via...
View ArticleClik here to view.
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn: Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. CoRR abs/1905.10448 (2019)
View ArticleClik here to view.
Geometric Scattering for Graph Data Analysis.
Feng Gao, Guy Wolf, Matthew J. Hirn: Geometric Scattering for Graph Data Analysis. ICML 2019: 2122-2131
View ArticleClik here to view.
Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn: Coarse Graining of Data via...
View ArticleClik here to view.
Wavelet Scattering Networks for Atomistic Systems with Extrapolation of...
Paul Sinz, Michael W. Swift, Xavier Brumwell, Jialin Liu, Kwang Jin Kim, Yue Qi, Matthew J. Hirn: Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties. CoRR...
View ArticleClik here to view.
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn: Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. MSML 2020: 570-604
View ArticleClik here to view.
Kymatio: Scattering Transforms in Python.
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen,...
View ArticleClik here to view.
Towards a Taxonomy of Graph Learning Datasets.
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek:...
View ArticleClik here to view.
A Hybrid Scattering Transform for Signals with Isolated Singularities.
Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn: A Hybrid Scattering Transform for Signals with Isolated Singularities. CoRR abs/2110.04910 (2021)
View ArticleClik here to view.
Unbiasing Procedures for Scale-invariant Multi-reference Alignment.
Matthew J. Hirn, Anna Little: Unbiasing Procedures for Scale-invariant Multi-reference Alignment. CoRR abs/2107.01274 (2021)
View ArticleClik here to view.
Texture synthesis via projection onto multiscale, multilayer statistics.
Jieqian He, Matthew J. Hirn: Texture synthesis via projection onto multiscale, multilayer statistics. CoRR abs/2105.10825 (2021)
View ArticleClik here to view.
MagNet: A Magnetic Neural Network for Directed Graphs.
Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn: MagNet: A Magnetic Neural Network for Directed Graphs. CoRR abs/2102.11391 (2021)
View ArticleClik here to view.
MagNet: A Neural Network for Directed Graphs.
Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn: MagNet: A Neural Network for Directed Graphs. NeurIPS 2021: 27003-27015
View ArticleClik here to view.
A Hybrid Scattering Transform for Signals with Isolated Singularities.
Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn: A Hybrid Scattering Transform for Signals with Isolated Singularities. ACSCC 2021: 1322-1329
View ArticleClik here to view.
ClassicalGSG: Prediction of logP using classical molecular force fields and...
Nazanin Donyapour, Matthew J. Hirn, Alex Dickson: ClassicalGSG: Prediction of logP using classical molecular force fields and geometric scattering for graphs. J. Comput. Chem. 42(14): 1006-1017 (2021)
View ArticleClik here to view.
Geometric Scattering on Measure Spaces.
Joyce Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu: Geometric Scattering on Measure Spaces. CoRR abs/2208.08561 (2022)
View ArticleClik here to view.
The Manifold Scattering Transform for High-Dimensional Point Cloud Data.
Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter: The Manifold Scattering Transform for High-Dimensional Point...
View ArticleClik here to view.
Taxonomy of Benchmarks in Graph Representation Learning.
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek:...
View ArticleClik here to view.
Time-inhomogeneous diffusion geometry and topology.
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy: Time-inhomogeneous diffusion geometry and topology. CoRR abs/2203.14860 (2022)
View ArticleClik here to view.
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid...
Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf: Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. CoRR abs/2201.08932 (2022)
View ArticleClik here to view.
The Manifold Scattering Transform for High-Dimensional Point Cloud Data.
Joyce Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter: The Manifold Scattering Transform for...
View ArticleClik here to view.
Taxonomy of Benchmarks in Graph Representation Learning.
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek: Taxonomy of...
View ArticleClik here to view.
Scattering Statistics of Generalized Spatial Poisson Point Processes.
Michael Perlmutter, Jieqian He, Matthew J. Hirn: Scattering Statistics of Generalized Spatial Poisson Point Processes. ICASSP 2022: 5528-5532
View ArticleClik here to view.
NervePool: A Simplicial Pooling Layer.
Sarah McGuire, Elizabeth Munch, Matthew J. Hirn: NervePool: A Simplicial Pooling Layer. CoRR abs/2305.06315 (2023)
View ArticleClik here to view.
Understanding Graph Neural Networks with Generalized Geometric Scattering...
Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, Matthew J. Hirn: Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms. SIAM J. Math. Data Sci. 5(4): 873-898 (2023)
View ArticleClik here to view.
Time-Inhomogeneous Diffusion Geometry and Topology.
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy: Time-Inhomogeneous Diffusion Geometry and Topology. SIAM J. Math. Data Sci....
View ArticleClik here to view.
Accurately modeling biased random walks on weighted networks using node2vec+.
Renming Liu, Matthew J. Hirn, Arjun Krishnan: Accurately modeling biased random walks on weighted networks using node2vec+. Bioinform. 39(1) (2023)
View ArticleBispectrum Unbiasing for Dilation-Invariant Multi-reference Alignment.
Liping Yin, Anna Little, Matthew J. Hirn: Bispectrum Unbiasing for Dilation-Invariant Multi-reference Alignment. CoRR abs/2402.14276 (2024)
View Article
