Michael Perlmutter

57 papers A* 2A 1B 4Misc 6Journal 35Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization? CoRR Semih Cantürk, Thomas Sabourin, Frederik Wenkel, Michael Perlmutter, Guy Wolf
2025	J	`jnl`	Equivariant Geometric Scattering Networks via Vector Diffusion Wavelets. CoRR David R. Johnson, Rishabh Anand, Smita Krishnaswamy, Michael Perlmutter
2025	J	`jnl`	HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data. CoRR Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, David R. Johnson, Rex Ying, Christopher J. Tape, Ian Adelstein, Michael Perlmutter, Smita Krishnaswamy
2025	Misc	`conf`	Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. ICASSP Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy
2025	J	`jnl`	InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data. CoRR David R. Johnson, Smita Krishnaswamy, Michael Perlmutter
2024	A	`conf`	BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2024	Misc	`conf`	Bayesian Spectral Graph Denoising with Smoothness Prior. CISS Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
2024	J	`jnl`	Convergence of Manifold Filter-Combine Networks. CoRR David R. Johnson, Joyce A. Chew, Siddharth Viswanath, Edward De Brouwer, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
2024	Misc	`conf`	Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis. ICASSP Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy
2024	J	`jnl`	Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. CoRR Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy
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
2024	J	`jnl`	Learnable Filters for Geometric Scattering Modules. IEEE Trans. Signal Process. Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2024	J	`jnl`	Mapping the gene space at single-cell resolution with gene signal pattern analysis. Nat. Comput. Sci. Aarthi Venkat, Samuel Leone, Scott E. Youlten, Eric Fagerberg, John Attanasio, Nikhil S. Joshi, Michael Perlmutter, Smita Krishnaswamy
2024	J	`jnl`	Towards a General GNN Framework for Combinatorial Optimization. CoRR Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf
2024	—	`conf`	Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs. LoG Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf
2023	—	`conf`	A Flow Artist for High-Dimensional Cellular Data. MLSP Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	A Flow Artist for High-Dimensional Cellular Data. CoRR Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2023	J	`jnl`	Bayesian Formulations for Graph Spectral Denoising. CoRR Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
2023	J	`jnl`	Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis. CoRR Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy
2023	J	`jnl`	Graph topological property recovery with heat and wave dynamics-based features on graphs. CoRR Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy
2023	J	`jnl`	Manifold Filter-Combine Networks. CoRR Joyce A. Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
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
2023	Misc	`conf`	Wire Before You Walk. ACSSC Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter
2022	J	`jnl`	A Convergence Rate for Manifold Neural Networks. CoRR Joyce A. Chew, Deanna Needell, Michael Perlmutter
2022	J	`jnl`	Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? CoRR Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
2022	A*	`conf`	Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? NeurIPS Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
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`	Learnable Filters for Geometric Scattering Modules. CoRR Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2022	—	`conf`	MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
2022	J	`jnl`	MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
2022	—	`conf`	Molecular Graph Generation via Geometric Scattering. MLSP Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy
2022	Misc	`conf`	On Audio Enhancement via Online Non-Negative Matrix Factorization. CISS Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
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
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`	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`	Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova
2021	J	`jnl`	On audio enhancement via online non-negative matrix factorization. CoRR Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
2021	J	`jnl`	Phase Retrieval for L CoRR Mark A. Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan
2021	J	`jnl`	Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval. CoRR Mark A. Iwen, Michael Perlmutter, Mark Philip Roach
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
2020	—	`conf`	A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. EUSIPCO Michael Perlmutter, Nada Sissouno, Aditya Viswanathan, Mark A. Iwen
2020	—	`conf`	Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. MSML Michael Perlmutter, 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`	Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization. CoRR Michael Perlmutter, Sami Merhi, Aditya Viswanathan, Mark A. Iwen
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
2015	B	`conf`	Linking volitional preferences for emotional information to social difficulties: A game approach using the microsoft kinect. ACII Mary Weng, Carla A. Wall, Elizabeth S. Kim, Litton Whitaker, Michael Perlmutter, Quan Wang, Eli R. Lebowitz, Frederick Shic
2015	B	`conf`	Mapping connections between biological-emotional preferences and affective recognition: An eye-tracking interface for passive assessment of emotional competency. ACII Carla A. Wall, Quan Wang, Mary Weng, Elizabeth S. Kim, Litton Whitaker, Michael Perlmutter, Frederick Shic
2014	B	`conf`	Development of an untethered, mobile, low-cost head-mounted eye tracker. ETRA 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