Michael Perlmutter

According to our database, Michael Perlmutter authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Spectral Graph Denoising with Smoothness Prior.

Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms.

Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, Matthew J. Hirn

SIAM J. Math. Data Sci., December, 2023

Bayesian Formulations for Graph Spectral Denoising.

Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy

CoRR, 2023

BLIS-Net: Classifying and Analyzing Signals on Graphs.

Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter

CoRR, 2023

Graph topological property recovery with heat and wave dynamics-based features on graphs.

Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy

CoRR, 2023

Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis.

Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy

CoRR, 2023

Manifold Filter-Combine Networks.

Joyce A. Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter

CoRR, 2023

A Flow Artist for High-Dimensional Cellular Data.

Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Wire Before You Walk.

Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

A Convergence Rate for Manifold Neural Networks.

Joyce A. Chew, Deanna Needell, Michael Perlmutter

CoRR, 2022

Geometric Scattering on Measure Spaces.

Joyce A. Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu

CoRR, 2022

Learnable Filters for Geometric Scattering Modules.

Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf

CoRR, 2022

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

CoRR, 2022

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

CoRR, 2022

Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem?

Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf

CoRR, 2022

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks.

Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf

CoRR, 2022

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, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter

Proceedings of the Topological, 2022

Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?

Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Molecular Graph Generation via Geometric Scattering.

Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

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

Proceedings of the Learning on Graphs Conference, 2022

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

Scattering Statistics of Generalized Spatial Poisson Point Processes.

Michael Perlmutter, Jieqian He, Matthew J. Hirn

Proceedings of the IEEE International Conference on Acoustics, 2022

On Audio Enhancement via Online Non-Negative Matrix Factorization.

Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021

Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval.

Mark A. Iwen, Michael Perlmutter, Mark Philip Roach

CoRR, 2021

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

CoRR, 2021

Molecular Graph Generation via Geometric Scattering.

Dhananjay Bhaskar, Jackson D. Grady, Michael A. Perlmutter, Smita Krishnaswamy

CoRR, 2021

Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery.

Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova

CoRR, 2021

Phase Retrieval for L²([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements.

Mark A. Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan

CoRR, 2021

MagNet: A Magnetic Neural Network for Directed Graphs.

Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

CoRR, 2021

MagNet: A Neural Network for Directed Graphs.

Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Hybrid Scattering Transform for Signals with Isolated Singularities.

Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.

Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn

Proceedings of Mathematical and Scientific Machine Learning, 2020

A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements.

Michael Perlmutter, Nada Sissouno, Aditya Viswanathan, Mark A. Iwen

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms.

Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn

CoRR, 2019

Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization.

Michael Perlmutter, Sami Merhi, Aditya Viswanathan, Mark A. Iwen

CoRR, 2019

2018

Geometric Scattering on Manifolds.

Michael Perlmutter, Guy Wolf, Matthew J. Hirn

CoRR, 2018

2015

Linking volitional preferences for emotional information to social difficulties: A game approach using the microsoft kinect.

Mary Weng, Carla A. Wall, Elizabeth S. Kim, Litton Whitaker, Michael Perlmutter, Quan Wang, Eli R. Lebowitz, Frederick Shic

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

Mapping connections between biological-emotional preferences and affective recognition: An eye-tracking interface for passive assessment of emotional competency.

Carla A. Wall, Quan Wang, Mary Weng, Elizabeth S. Kim, Litton Whitaker, Michael Perlmutter, Frederick Shic

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014

Development of an untethered, mobile, low-cost head-mounted eye tracker.

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

Proceedings of the Eye Tracking Research and Applications, 2014