Publications

I have first-author publications in AAAI and Big Data.

You can also find a full list of my publications on my Google Scholar page.

Neural Tangent Kernels Under Stochastic Data Augmentation
Joshua DeOliveira, Sajal Chakroborty, Walter Gerych, Elke Rundensteiner.
(To Appear In) AAAI, 2026.

Agree to Disagree: Robust Anomaly Detection with Noisy Labels
Dennis Hoffmann, Peter VanNostrand, Lei Ma, Joshua DeOliveira, Lei Cao, Elke Rundensteiner.
SIGMOD, 2025.

The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
Joshua DeOliveira, Walter Gerych, Elke Rundensteiner.
AAAI, 2025.

Thumbnail figure for IEEE Big Data 2024 Paper

GAN Stabilization Under Practical Training Assumptions.
Joshua DeOliveira, Walter Gerych, Elke Rundensteiner.
IEEE Big Data, 2024.

Thumbnail figure for IEEE Big Data 2022 Paper

HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition.
Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke Rundensteiner, Emmanuel Agu.
IEEE Big Data 4th Special Session on HealthCare Data, 2022.

Thumbnail figure for IEEE Big Data 2021 Paper

GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus.
Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Biquichhio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke Rundensteiner, Emmanuel Agu.
IEEE Big Data 3rd Special Session on HealthCare Data, 2021.

Thumbnail figure for MIT URTC 2021 Paper

Human Context Recognition: A Controllable GAN Approach.
Joshua DeOliveira, Harrison Kim, MaryClare Martin, Walter Gerych, Elke Rundensteiner.
IEEE MIT URTC, 2021.