Michael Perlmutter

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Euclidean Space

Negative Matrix Factorization

Top Venues

Publications

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)
Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
Bayesian Spectral Graph Denoising with Smoothness Prior. CISS (2024)
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)
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)
Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf
Towards a General GNN Framework for Combinatorial Optimization. CoRR (2024)
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 (2024)
Aarthi Venkat, Joyce Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
Bayesian Formulations for Graph Spectral Denoising. CoRR (2023)
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)
Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter
Wire Before You Walk. ACSSC (2023)
Joyce Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
Manifold Filter-Combine Networks. CoRR (2023)
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
Learnable Filters for Geometric Scattering Modules. CoRR (2022)
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 (2022)
Frederik Wenkel, Yimeng Min, Matthew Hirn, Michael Perlmutter, Guy Wolf
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. CoRR (2022)
Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG (2022)
Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
On Audio Enhancement via Online Non-Negative Matrix Factorization. CISS (2022)
Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? CoRR (2022)
Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? NeurIPS (2022)
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 (2022)
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 High-Dimensional Point Cloud Data. TAG-ML (2022)
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 (2022)
Michael Perlmutter, Jieqian He, Matthew J. Hirn
Scattering Statistics of Generalized Spatial Poisson Point Processes. ICASSP (2022)
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)
Joyce Chew, Deanna Needell, Michael Perlmutter
A Convergence Rate for Manifold Neural Networks. CoRR (2022)
Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy
Molecular Graph Generation via Geometric Scattering. MLSP (2022)
Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR (2021)
Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn
MagNet: A Magnetic Neural Network for Directed Graphs. CoRR (2021)
Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn
MagNet: A Neural Network for Directed Graphs. NeurIPS (2021)
Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
On audio enhancement via online non-negative matrix factorization. CoRR (2021)
Mark A. Iwen, Michael Perlmutter, Mark Philip Roach
Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval. CoRR (2021)
Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew Hirn
A Hybrid Scattering Transform for Signals with Isolated Singularities. ACSCC (2021)
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampásek
Towards a Taxonomy of Graph Learning Datasets. CoRR (2021)
Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew Hirn
A Hybrid Scattering Transform for Signals with Isolated Singularities. CoRR (2021)
Mark A. Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan
([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements. CoRR (2021)
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. MSML (2020)
Michael Perlmutter, Nada Sissouno, Aditya Viswanathan, Mark A. Iwen
A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. EUSIPCO (2020)
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms. CoRR (2019)
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. CoRR (2019)
Michael Perlmutter, Sami Merhi, Aditya Viswanathan, Mark A. Iwen
Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization. CoRR (2019)
Michael Perlmutter, Guy Wolf, Matthew J. Hirn
Geometric Scattering on Manifolds. CoRR (2018)
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)
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)
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)