Gerych, Walter

15 publications

ICLR 2026 Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Kimia Hamidieh, Veronika Thost, Walter Gerych, Mikhail Yurochkin, Marzyeh Ghassemi

ICLR 2026 WRING Out the Bias: A Rotation-Based Alternative to Projection Debiasing Walter Gerych, Cassandra Parent, Quinn Perian, Rafiya Javed, Justin Solomon, Marzyeh Ghassemi

ICLR 2026 When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment Yuxin Xiao, Sana Tonekaboni, Walter Gerych, Vinith Menon Suriyakumar, Marzyeh Ghassemi

NeurIPS 2025 An Investigation of Memorization Risk in Healthcare Foundation Models Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi

ICLR 2025 Learning Under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen

AAAI 2025 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

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

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

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

NeurIPSW 2024 Time Series Under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen

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

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

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

AAAI 2022 Recovering the Propensity Score from Biased Positive Unlabeled Data Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner

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