Walter Gerych

Walter Gerych

Postdoc Researcher @ MIT CSAIL (He/Him) wgerych@mit.edu

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

Paper Figure
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding.
(To Appear in) AAAI, 2025.
Paper Figure
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
Joshua DeOliveira, Walter Gerych, Elke Rundensteiner.
(To Appear in) AAAI, 2025.
Paper Figure
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi.
NeurIPS, 2024.
Paper Figure
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations
Qixuan Jin, Walter Gerych, Marzyeh Ghassemi.
ML4H Findings Track, 2024.
Paper Figure
Identifying implicit social biases in vision-language models.
Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi.
AIES, 2024.
Paper Figure
TAXI: Evaluating Categorical Knowledge Editing for Language Models.
Derek Powell, Walter Gerych, Thomas Hartvigsen.
ACL, 2024.
Paper Figure
Learning from Time Series under Temporal Label Noise.
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg,Berk Ustun, Thomas Hartvigsen.
Preprint, 2024.
Paper Figure
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.
Paper Figure
Amalgamating Multi-Task Models with Heterogeneous Architectures.
Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke Rundensteiner.
AAAI, 2024.
Paper Figure
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.
Paper Figure
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.
Paper Figure
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.
Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke Rundensteiner.
AAAI, 2023. Oral spotlight.
Paper Figure
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.
Paper Figure
Recovering The Propensity Score From Biased Positive Unlabeled Data.
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
AAAI, 2022. Oral spotlight.
Paper Figure
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels.
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
CIKM, 2022.
Paper Figure
Stop&Hop: Early Classification of Irregular Time Series.
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke Rundensteiner.
CIKM, 2022.
Paper Figure
Positive Unlabeled Learning with a Sequential Selection Bias.
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
SDM, 2022.
Paper Figure
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.
Walter Gerych, Tom Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
NeurIPS, 2021.