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2020 – today
- 2025
[j6]Nicholas Josselyn
, Biao Yin, Thomas A. Considine, John V. Kelley, Berend Christopher Rinderspacher, Robert E. Jensen, James F. Snyder, Walter Gerych, Ziming Zhang, Elke A. Rundensteiner:
Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor Image Domains. IEEE Access 13: 61368-61383 (2025)- [c37]Joshua DeOliveira, Walter Gerych, Elke A. Rundensteiner:
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training. AAAI 2025: 16262-16270 - [c36]Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding:
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. AAAI 2025: 23696-23703 - [c35]Abinitha Gourabathina, Walter Gerych, Eileen Pan, Marzyeh Ghassemi:
The Medium is the Message: How Non-Clinical Information Shapes Clinical Decisions in LLMs. FAccT 2025: 1805-1828 - [c34]Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen:
Learning under Temporal Label Noise. ICLR 2025 - [e1]Xuhai Orson Xu, Edward Choi, Pankhuri Singhal, Walter Gerych, Shengpu Tang, Monica Agrawal, Adarsh Subbaswamy, Elena Sizikova, Jessilyn Dunn, Roxana Daneshjou, Tasmie Sarker, Matthew McDermott, Irene Chen:
Conference on Health, Inference, and Learning, UC Berkeley, Berkeley, USA, 25-27 June 2025. Proceedings of Machine Learning Research 287, PMLR 2025 [contents] - [i10]Yuxin Xiao, Sana Tonekaboni, Walter Gerych, Vinith M. Suriyakumar, Marzyeh Ghassemi:
When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment. CoRR abs/2506.07452 (2025) - [i9]Abinitha Gourabathina, Yuexing Hao, Walter Gerych, Marzyeh Ghassemi:
The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making. CoRR abs/2506.17163 (2025) - [i8]Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi:
An Investigation of Memorization Risk in Healthcare Foundation Models. CoRR abs/2510.12950 (2025) - [i7]Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding:
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. CoRR abs/2510.17028 (2025) - 2024
- [c33]Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Amalgamating Multi-Task Models with Heterogeneous Architectures. AAAI 2024: 15346-15354 - [c32]Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran:
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. AAAI 2024: 18065-18072 - [c31]Derek Powell, Walter Gerych, Thomas Hartvigsen:
TAXI: Evaluating Categorical Knowledge Editing for Language Models. ACL (Findings) 2024: 15343-15352 - [c30]Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi:
Identifying Implicit Social Biases in Vision-Language Models. AIES (1) 2024: 547-561 - [c29]Joshua DeOliveira, Walter Gerych, Elke A. Rundensteiner:
GAN Stabilization Under Practical Training Assumptions. IEEE Big Data 2024: 850-859 - [c28]Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas K. Sharma, Tom Hartvigsen, Marzyeh Ghassemi:
BendVLM: Test-Time Debiasing of Vision-Language Embeddings. NeurIPS 2024 - [i6]Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen:
Learning from Time Series under Temporal Label Noise. CoRR abs/2402.04398 (2024) - [i5]Derek Powell, Walter Gerych, Thomas Hartvigsen:
TAXI: Evaluating Categorical Knowledge Editing for Language Models. CoRR abs/2404.15004 (2024) - [i4]Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi:
Identifying Implicit Social Biases in Vision-Language Models. CoRR abs/2411.00997 (2024) - [i3]Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas K. Sharma, Thomas Hartvigsen, Marzyeh Ghassemi:
BendVLM: Test-Time Debiasing of Vision-Language Embeddings. CoRR abs/2411.04420 (2024) - [i2]Qixuan Jin, Walter Gerych, Marzyeh Ghassemi:
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations. CoRR abs/2411.10686 (2024) - 2023
- [j5]Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Domain Adaptation Methods for Lab-to-Field Human Context Recognition. Sensors 23(6): 3081 (2023) - [j4]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner, Angela Incollingo Rodriguez:
INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping. Vis. Informatics 7(2): 13-29 (2023) - [c27]Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. AAAI 2023: 9980-9988 - [c26]Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Stabilizing Adversarial Training for Generative Networks. IEEE Big Data 2023: 5223-5232 - [c25]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Adversarial Human Context Recognition: Evasion Attacks and Defenses. COMPSAC 2023: 223-232 - [c24]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Population-Level Visual Analytics of Smartphone Sensed Health and Wellness Using Community Phenotypes. ICHI 2023: 420-429 - [c23]Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke A. Rundensteiner, Emmanuel Agu:
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes. NeurIPS 2023 - 2022
- [c22]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recovering the Propensity Score from Biased Positive Unlabeled Data. AAAI 2022: 6694-6702 - [c21]M. L. Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, Elke A. Rundensteiner:
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. IEEE Big Data 2022: 2804-2813 - [c20]Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke A. Rundensteiner, Emmanuel Agu:
HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. IEEE Big Data 2022: 5233-5242 - [c19]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. CIKM 2022: 582-591 - [c18]Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CIKM 2022: 696-705 - [c17]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition. PerCom Workshops 2022: 155-161 - [c16]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Positive Unlabeled Learning with a Sequential Selection Bias. SDM 2022: 19-27 - [i1]Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CoRR abs/2208.09795 (2022) - 2021
- [j3]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Visual Analytics of Smartphone-Sensed Human Behavior and Health. IEEE Computer Graphics and Applications 41(3): 96-104 (2021) - [j2]Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts. IEEE Pervasive Comput. 20(1): 50-61 (2021) - [j1]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms. Vis. Informatics 5(3): 39-53 (2021) - [c15]Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner:
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. AIES 2021: 674-682 - [c14]Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu:
Variational Open Set Recognition (VOSR). IEEE BigData 2021: 994-1001 - [c13]Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus. IEEE BigData 2021: 4705-4714 - [c12]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Exploratory Data Analysis of Population Level Smartphone-Sensed Data. VISIGRAPP (Revised Selected Papers) 2021: 206-231 - [c11]Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces. ICMLA 2021: 345-350 - [c10]Walter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets. ICMLA 2021: 1010-1015 - [c9]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data using Clustering. VISIGRAPP (3: IVAPP) 2021: 64-75 - [c8]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification. NeurIPS 2021: 15981-15992 - [c7]Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Emmanuel Agu, Elke A. Rundensteiner:
CARTMAN: Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data. SMARTCOMP 2021: 39-46 - 2020
- [c6]Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke A. Rundensteiner, Emmanuel Agu:
BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. IEEE BigData 2020: 147-154 - [c5]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data. IEEE BigData 2020: 4882-4891 - [c4]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition. ICSC 2020: 53-60 - [c3]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms. EuroVis (Short Papers) 2020: 25-29
2010 – 2019
- 2019
- [c2]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics. COMPSAC (2) 2019: 233-238 - [c1]Walter Gerych, Emmanuel Agu, Elke A. Rundensteiner:
Classifying Depression in Imbalanced Datasets Using an Autoencoder- Based Anomaly Detection Approach. ICSC 2019: 124-127
Coauthor Index
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