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2020 – today
- 2024
[j2]Alexander Tong
, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf:
Learnable Filters for Geometric Scattering Modules. IEEE Trans. Signal Process. 72: 2939-2952 (2024)- [c20]Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter:
BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS 2024: 4537-4545 - [c19]Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy:
Bayesian Spectral Graph Denoising with Smoothness Prior. CISS 2024: 1-6 - [c18]Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy:
Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis. ICASSP 2024: 9761-9765 - [c17]Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy:
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB 2024: 235-252 - [i30]Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf:
Towards a General GNN Framework for Combinatorial Optimization. CoRR abs/2405.20543 (2024) - [i29]Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy:
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. CoRR abs/2409.09469 (2024) - [i28]David R. Johnson, Joyce A. Chew, Siddharth Viswanath, Edward De Brouwer, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter:
Convergence of Manifold Filter-Combine Networks. CoRR abs/2410.14639 (2024) - [i27]Siddharth Viswanath, Dhananjay Bhaskar, David R. Johnson, João F. Rocha, Egbert Castro, Jackson D. Grady, Alex T. Grigas, Michael A. Perlmutter, Corey S. O'Hern, Smita Krishnaswamy:
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics. CoRR abs/2410.20317 (2024) - 2023
- [j1]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) - [c16]Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter:
Wire Before You Walk. ACSSC 2023: 714-716 - [c15]Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy:
A Flow Artist for High-Dimensional Cellular Data. MLSP 2023: 1-6 - [i26]Joyce A. Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter:
Manifold Filter-Combine Networks. CoRR abs/2307.04056 (2023) - [i25]Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy:
A Flow Artist for High-Dimensional Cellular Data. CoRR abs/2308.00176 (2023) - [i24]Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy:
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis. CoRR abs/2309.07813 (2023) - [i23]Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy:
Graph topological property recovery with heat and wave dynamics-based features on graphs. CoRR abs/2309.09924 (2023) - [i22]Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter:
BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR abs/2310.17579 (2023) - [i21]Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy:
Bayesian Formulations for Graph Spectral Denoising. CoRR abs/2311.16378 (2023) - 2022
- [c14]Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell:
On Audio Enhancement via Online Non-Negative Matrix Factorization. CISS 2022: 287-291 - [c13]Michael Perlmutter, Jieqian He, Matthew J. Hirn:
Scattering Statistics of Generalized Spatial Poisson Point Processes. ICASSP 2022: 5528-5532 - [c12]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 Benchmarks in Graph Representation Learning. LoG 2022: 6 - [c11]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG 2022: 40 - [c10]Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy:
Molecular Graph Generation via Geometric Scattering. MLSP 2022: 1-6 - [c9]Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf:
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? NeurIPS 2022 - [c8]Joyce A. 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 High-Dimensional Point Cloud Data. TAG-ML 2022: 67-78 - [i20]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) - [i19]Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf:
Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? CoRR abs/2206.01506 (2022) - [i18]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:
Taxonomy of Benchmarks in Graph Representation Learning. CoRR abs/2206.07729 (2022) - [i17]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 Cloud Data. CoRR abs/2206.10078 (2022) - [i16]Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf:
Learnable Filters for Geometric Scattering Modules. CoRR abs/2208.07458 (2022) - [i15]Joyce A. 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) - [i14]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR abs/2209.00546 (2022) - [i13]Joyce A. Chew, Deanna Needell, Michael Perlmutter:
A Convergence Rate for Manifold Neural Networks. CoRR abs/2212.12606 (2022) - 2021
- [c7]Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn:
A Hybrid Scattering Transform for Signals with Isolated Singularities. ACSCC 2021: 1322-1329 - [c6]Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn:
MagNet: A Neural Network for Directed Graphs. NeurIPS 2021: 27003-27015 - [i12]Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn:
MagNet: A Magnetic Neural Network for Directed Graphs. CoRR abs/2102.11391 (2021) - [i11]Mark A. Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan:
Phase Retrieval for L2([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements. CoRR abs/2106.02517 (2021) - [i10]Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova:
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR abs/2109.10454 (2021) - [i9]Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell:
On audio enhancement via online non-negative matrix factorization. CoRR abs/2110.03114 (2021) - [i8]Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn:
A Hybrid Scattering Transform for Signals with Isolated Singularities. CoRR abs/2110.04910 (2021) - [i7]Dhananjay Bhaskar, Jackson D. Grady, Michael A. Perlmutter, Smita Krishnaswamy:
Molecular Graph Generation via Geometric Scattering. CoRR abs/2110.06241 (2021) - [i6]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:
Towards a Taxonomy of Graph Learning Datasets. CoRR abs/2110.14809 (2021) - [i5]Mark A. Iwen, Michael Perlmutter, Mark Philip Roach:
Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval. CoRR abs/2112.10804 (2021) - 2020
- [c5]Michael Perlmutter, Nada Sissouno, Aditya Viswanathan, Mark A. Iwen:
A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. EUSIPCO 2020: 970-974 - [c4]Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn:
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. MSML 2020: 570-604
2010 – 2019
- 2019
- [i4]Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn:
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. CoRR abs/1905.10448 (2019) - [i3]Michael Perlmutter, Sami Merhi, Aditya Viswanathan, Mark A. Iwen:
Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization. CoRR abs/1907.10773 (2019) - [i2]Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn:
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms. CoRR abs/1911.06253 (2019) - 2018
- [i1]Michael Perlmutter, Guy Wolf, Matthew J. Hirn:
Geometric Scattering on Manifolds. CoRR abs/1812.06968 (2018) - 2015
- [c3]Carla A. Wall, Quan Wang, Mary Weng, Elizabeth S. Kim, Litton Whitaker, Michael Perlmutter, Frederick Shic:
Mapping connections between biological-emotional preferences and affective recognition: An eye-tracking interface for passive assessment of emotional competency. ACII 2015: 21-27 - [c2]Mary Weng, Carla A. Wall, Elizabeth S. Kim, Litton Whitaker, Michael Perlmutter, Quan Wang, Eli R. Lebowitz, Frederick Shic:
Linking volitional preferences for emotional information to social difficulties: A game approach using the microsoft kinect. ACII 2015: 588-594 - 2014
- [c1]Elizabeth S. Kim, Adam Naples, Giuliana Vaccarino Gearty, Quan Wang, Seth Wallace, Carla A. Wall, Michael Perlmutter, Fred Volkmar, Frederick Shic, Linda Friedlaender, Jennifer Kowitt, Brian Reichow:
Development of an untethered, mobile, low-cost head-mounted eye tracker. ETRA 2014: 247-250
Coauthor Index
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