Matthew J. Hirn

46 papers A* 2B 1C 1Misc 1Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Bispectrum Unbiasing for Dilation-Invariant Multi-Reference Alignment. IEEE Trans. Signal Process. Liping Yin, Anna Little, Matthew J. Hirn
2024	J	`jnl`	Bispectrum Unbiasing for Dilation-Invariant Multi-reference Alignment. CoRR Liping Yin, Anna Little, Matthew J. Hirn
2024	B	`conf`	Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy
2023	J	`jnl`	Accurately modeling biased random walks on weighted networks using Bioinform. Renming Liu, Matthew J. Hirn, Arjun Krishnan
2023	J	`jnl`	NervePool: A Simplicial Pooling Layer. CoRR Sarah McGuire, Elizabeth Munch, Matthew J. Hirn
2023	J	`jnl`	Time-Inhomogeneous Diffusion Geometry and Topology. SIAM J. Math. Data Sci. Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
2023	J	`jnl`	Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms. SIAM J. Math. Data Sci. Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, Matthew J. Hirn
2022	J	`jnl`	Geometric Scattering on Measure Spaces. CoRR Joyce A. Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu
2022	J	`jnl`	Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. CoRR Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf
2022	Misc	`conf`	Scattering Statistics of Generalized Spatial Poisson Point Processes. ICASSP Michael Perlmutter, Jieqian He, Matthew J. Hirn
2022	—	`conf`	Taxonomy of Benchmarks in Graph Representation Learning. LoG 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
2022	J	`jnl`	Taxonomy of Benchmarks in Graph Representation Learning. CoRR 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
2022	—	`conf`	The Manifold Scattering Transform for High-Dimensional Point Cloud Data. TAG-ML Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter
2022	J	`jnl`	The Manifold Scattering Transform for High-Dimensional Point Cloud Data. CoRR Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
2022	J	`jnl`	Time-inhomogeneous diffusion geometry and topology. CoRR Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
2021	—	`conf`	A Hybrid Scattering Transform for Signals with Isolated Singularities. ACSCC Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn
2021	J	`jnl`	A Hybrid Scattering Transform for Signals with Isolated Singularities. CoRR Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn
2021	J	`jnl`	ClassicalGSG: Prediction of logP using classical molecular force fields and geometric scattering for graphs. J. Comput. Chem. Nazanin Donyapour, Matthew J. Hirn, Alex Dickson
2021	J	`jnl`	MagNet: A Magnetic Neural Network for Directed Graphs. CoRR Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn
2021	A*	`conf`	MagNet: A Neural Network for Directed Graphs. NeurIPS Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn
2021	J	`jnl`	Texture synthesis via projection onto multiscale, multilayer statistics. CoRR Jieqian He, Matthew J. Hirn
2021	J	`jnl`	Towards a Taxonomy of Graph Learning Datasets. CoRR 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
2021	J	`jnl`	Unbiasing Procedures for Scale-invariant Multi-reference Alignment. CoRR Matthew J. Hirn, Anna Little
2020	—	`conf`	Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. MSML Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
2020	J	`jnl`	Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg
2020	J	`jnl`	Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties. CoRR Paul Sinz, Michael W. Swift, Xavier Brumwell, Jialin Liu, Kwang Jin Kim, Yue Qi, Matthew J. Hirn
2019	—	`conf`	Coarse Graining of Data via Inhomogeneous Diffusion Condensation. IEEE BigData 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
2019	J	`jnl`	Coarse Graining of Data via Inhomogeneous Diffusion Condensation. CoRR 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
2019	A*	`conf`	Geometric Scattering for Graph Data Analysis. ICML Feng Gao, Guy Wolf, Matthew J. Hirn
2019	J	`jnl`	Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. CoRR Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
2019	J	`jnl`	Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms. CoRR Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
2018	J	`jnl`	Geometric Scattering on Manifolds. CoRR Michael Perlmutter, Guy Wolf, Matthew J. Hirn
2018	J	`jnl`	Graph Classification with Geometric Scattering. CoRR Feng Gao, Guy Wolf, Matthew J. Hirn
2018	J	`jnl`	Kymatio: Scattering Transforms in Python. CoRR Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg
2018	J	`jnl`	Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
2018	J	`jnl`	Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction. CoRR Xavier Brumwell, Paul Sinz, Kwang Jin Kim, Yue Qi, Matthew J. Hirn
2017	—	`conf`	Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. NIPS Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
2017	J	`jnl`	Wavelet Scattering Regression of Quantum Chemical Energies. Multiscale Model. Simul. Matthew J. Hirn, Stéphane Mallat, Nicolas Poilvert
2016	J	`jnl`	Time Coupled Diffusion Maps. CoRR Nicholas F. Marshall, Matthew J. Hirn
2015	J	`jnl`	Quantum Energy Regression using Scattering Transforms. CoRR Matthew J. Hirn, Nicolas Poilvert, Stéphane Mallat
2014	J	`jnl`	Computing minimal interpolants in C CoRR Ariel Herbert-Voss, Matthew J. Hirn, Frederick McCollum
2014	J	`jnl`	Frames for subspaces of $\mathbb{C}^N$. CoRR Matthew J. Hirn, David P. Widemann
2012	J	`jnl`	Bi-stochastic kernels via asymmetric affinity functions CoRR Ronald R. Coifman, Matthew J. Hirn
2012	J	`jnl`	Diffusion maps for changing data CoRR Ronald R. Coifman, Matthew J. Hirn
2012	C	`conf`	Sparse endmember extraction and demixing. IGARSS Martin Ehler, Matthew J. Hirn
2009	—	`conf`	Frame based Kernel Methods for Automatic Classification in Hyperspectral Data. IGARSS (4) John J. Benedetto, Wojciech Czaja, Justin Flake, Matthew J. Hirn