Joshua Vendrow

According to our database, Joshua Vendrow authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Ask Your Distribution Shift if Pre-Training is Right for You.

Benjamin Cohen-Wang, Joshua Vendrow, Aleksander Madry

CoRR, 2024

2023

The Journey, Not the Destination: How Data Guides Diffusion Models.

Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry

CoRR, 2023

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling.

Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell

CoRR, 2023

Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation.

Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry

CoRR, 2023

2022

Automatic Infectious Disease Classification Analysis with Concept Discovery.

Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell

CoRR, 2022

A Generalized Hierarchical Nonnegative Tensor Decomposition.

Joshua Vendrow, Jamie Haddock, Deanna Needell

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Analysis of Legal Documents via Non-negative Matrix Factorization Methods.

Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell

CoRR, 2021

Learning low-rank latent mesoscale structures in networks.

Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow, Mason A. Porter

CoRR, 2021

On a Guided Nonnegative Matrix Factorization.

Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell

Proceedings of the IEEE International Conference on Acoustics, 2021

Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis.

Joshua Vendrow, Jamie Haddock, Deanna Needell

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

2020

Learning to predict synchronization of coupled oscillators on heterogeneous graphs.

Hardeep Bassi, Richard P. Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu

CoRR, 2020

Feature Selection on Lyme Disease Patient Survey Data.

Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson

CoRR, 2020

Feature Selection from Lyme Disease Patient Survey Using Machine Learning.

Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson

Algorithms, 2020