Publications

Preprints

Manifold Filter-Combine Networks

Chew, J.A., De Brouwer, E., Krishnaswamy, S., Needell, D., Perlmutter, M. Submitted for publication, 2023. [arxiv]

Curvature corrected tangent space-based approximation of manifold-valued data

Diepeveen, W., Chew, J.A., Needell, D. Submitted for publication, 2023. [arxiv]

Detecting and Mitigating Indirect Stereotypes in Word Embeddings

George, E., Chew, J.A., Needell, D. Submitted for publication, 2023. [arxiv]

Conference/Workshop Papers

Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis

Venkat, A., Chew, J.A., Rodriguez, F.C., Tape, C.J., Perlmutter, M., Krishnaswamy, S. Accepted to ICASSP 2024. [arxiv]

A Convergence Rate for Manifold Neural Networks

Chew, J.A., Perlmutter, M., Needell, D. Sampling Theory and Applications (in IEEE), 2023. [arxiv]

The Manifold Scattering Transform for High-Dimensional Point Cloud Data

Chew, J.A., Steach, H.R., Viswanath, S., Wu, H.-T., Hirn, M., Needell, D., Vesely, M.D., Krishnaswamy, S., Perlmutter, M. Topological, Algebraic and Geometric Learning Workshops 2022, volume 196, pages 67-78. PMLR, 2022. [arxiv]

Journal Papers

Geometric Scattering on Measure Spaces

Chew, J.A., Hirn, M., Krishnaswamy, S., Needell, D., Perlmutter, M., Steach, H.R., Viswanath, S., Wu, H.-T. Applied and Computational Harmonic Analysis, 2024. [arxiv]

Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing Unstructured Text Datasets using Topic Modeling

Cheng, K., Inzer, S., Leung, A., Shen, X., Perlmutter, M., Lindstrom, M., Chew, J.A., Presner, T., Needell, D. SIAM Undergraduate Research Online (SIURO), 2022. [arxiv]

Bootstrap methods for quantifying the uncertainty of binding constants in the hard modeling of spectrophotometric titration data

Kazmierczak, N.P., Chew, J.A., Vander Griend, D.A. Analytica Chimica Acta, 2022, 1227:339834.

Joyce A. Chew