Publications

I am currently on the academic job market for faculty positions in the 2024-2025 cycle!

I have first-author publications in NeurIPS, AAAI, SDM, CIKM, AIES, Big Data, ICMLA, and ICSC.

I list a select sample of my publications below. For a full list, please see my Google Scholar page.

Select Publications

BendVLM: Test-Time Debiasing of Vision-Language Embeddings
Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi.
(To Appear in) NeurIPS, 2024.

Who Knows the Answer? Finding the Best Model & Prompt Using Confidence-Based Search.
Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran.
AAAI, 2024.

Identifying implicit social biases in vision-language models.
Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi.
AIES, 2024.

TAXI: Evaluating Categorical Knowledge Editing for Language Models.
Derek Powell, Walter Gerych, Thomas Hartvigsen.
ACL, 2024.

Learning from Time Series under Temporal Label Noise.
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg,Berk Ustun, Thomas Hartvigsen.
Preprint, 2024.

Amalgamating Multi-Task Models with Heterogeneous Architectures.
Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke Rundensteiner.
AAAI, 2024.

Debiasing Pretrained Generative Models By Uniformly Sampling Semantic Attributes.
Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Emmanuel Agu, Elke Rundensteiner.
NeurIPS, 2023.

Stabilizing Adversarial Training for Generative Networks.
Walter Gerych, Kevin Hickey* (Joint First Author), Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke Rundensteiner.
IEEE Big Data MLDB, 2023.

Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.
Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke Rundensteiner.
AAAI, 2023. Oral spotlight.

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.

Recovering The Propensity Score From Biased Positive Unlabeled Data.
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
AAAI, 2022. Oral spotlight.

Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels.
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
CIKM, 2022.

Stop&Hop: Early Classification of Irregular Time Series.
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke Rundensteiner.
CIKM, 2022.

Positive Unlabeled Learning with a Sequential Selection Bias.
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
SDM, 2022.

Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.
Walter Gerych, Tom Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
NeurIPS, 2021.