Joyce A. Chew

According to our database, Joyce A. Chew authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Manifold Filter-Combine Networks.

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

CoRR, 2023

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

Willem Diepeveen, Joyce A. Chew, Deanna Needell

CoRR, 2023

Detecting and Mitigating Indirect Stereotypes in Word Embeddings.

Erin George, Joyce A. Chew, Deanna Needell

CoRR, 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

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

Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents.

Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell

CoRR, 2022

Guided Semi-Supervised Non-Negative Matrix Factorization.

Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell

Algorithms, 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