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Jwala Dhamala
Jwala Dhamala
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Cited by
Cited by
Year
Bold: Dataset and metrics for measuring biases in open-ended language generation
J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ...
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
1852021
On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations
YT Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
arXiv preprint arXiv:2203.13928, 2022
622022
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology
J Dhamala, HJ Arevalo, J Sapp, BM Horácek, KC Wu, NA Trayanova, ...
Medical image analysis 48, 43-57, 2018
322018
Does robustness improve fairness? approaching fairness with word substitution robustness methods for text classification
Y Pruksachatkun, S Krishna, J Dhamala, R Gupta, KW Chang
arXiv preprint arXiv:2106.10826, 2021
292021
Mitigating gender bias in distilled language models via counterfactual role reversal
U Gupta, J Dhamala, V Kumar, A Verma, Y Pruksachatkun, S Krishna, ...
arXiv preprint arXiv:2203.12574, 2022
282022
Spatially adaptive multi-scale optimization for local parameter estimation in cardiac electrophysiology
J Dhamala, HJ Arevalo, J Sapp, M Horacek, KC Wu, NA Trayanova, ...
IEEE transactions on medical imaging 36 (9), 1966-1978, 2017
282017
Generative modeling and inverse imaging of cardiac transmembrane potential
S Ghimire, J Dhamala, PK Gyawali, JL Sapp, M Horacek, L Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
242018
Embedding high-dimensional bayesian optimization via generative modeling: parameter personalization of cardiac electrophysiological models
J Dhamala, P Bajracharya, HJ Arevalo, JL Sapp, BM Horácek, KC Wu, ...
Medical image analysis 62, 101670, 2020
222020
“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation
A Ovalle, P Goyal, J Dhamala, Z Jaggers, KW Chang, A Galstyan, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
182023
High-dimensional bayesian optimization of personalized cardiac model parameters via an embedded generative model
J Dhamala, S Ghimire, JL Sapp, BM Horáček, L Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
182018
The consortium for electrocardiographic imaging
J Coll-Font, J Dhamala, D Potyagaylo, WHW Schulze, JD Tate, ...
2016 Computing in Cardiology Conference (CinC), 325-328, 2016
142016
Bayesian optimization on large graphs via a graph convolutional generative model: Application in cardiac model personalization
J Dhamala, S Ghimire, JL Sapp, BM Horáček, L Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
132019
Multi-VALUE: A framework for cross-dialectal English NLP
C Ziems, W Held, J Yang, J Dhamala, R Gupta, D Yang
arXiv preprint arXiv:2212.08011, 2022
122022
Improving generalization of deep networks for inverse reconstruction of image sequences
S Ghimire, PK Gyawali, J Dhamala, JL Sapp, M Horacek, L Wang
Information Processing in Medical Imaging: 26th International Conference …, 2019
122019
Learning geometry-dependent and physics-based inverse image reconstruction
X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
102020
Overcoming barriers to quantification and comparison of electrocardiographic imaging methods: A community-based approach
S Ghimire, J Dhamala, J Coll-Font, JD Tate, MS Guillem, DH Brooks, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
102017
Quantifying the uncertainty in model parameters using gaussian process-based markov chain monte carlo: An application to cardiac electrophysiological models
J Dhamala, JL Sapp, M Horacek, L Wang
International Conference on Information Processing in Medical Imaging, 223-235, 2017
92017
Spatially-adaptive multi-scale optimization for local parameter estimation: Application in cardiac electrophysiological models
J Dhamala, JL Sapp, M Horacek, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
92016
Measuring fairness of text classifiers via prediction sensitivity
S Krishna, R Gupta, A Verma, J Dhamala, Y Pruksachatkun, KW Chang
arXiv preprint arXiv:2203.08670, 2022
72022
An analysis of the effects of decoding algorithms on fairness in open-ended language generation
J Dhamala, V Kumar, R Gupta, KW Chang, A Galstyan
2022 IEEE Spoken Language Technology Workshop (SLT), 655-662, 2023
52023
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