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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
412021
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
302018
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
242017
Generative modeling and inverse imaging of cardiac transmembrane potential
S Ghimire, J Dhamala, PK Gyawali, JL Sapp, M Horacek, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
192018
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
132020
High-dimensional bayesian optimization of personalized cardiac model parameters via an embedded generative model
J Dhamala, S Ghimire, JL Sapp, BM Horáček, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
132018
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
122021
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
122016
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
112016
Improving generalization of deep networks for inverse reconstruction of image sequences
S Ghimire, PK Gyawali, J Dhamala, JL Sapp, M Horacek, L Wang
International Conference on Information Processing in Medical Imaging, 153-166, 2019
102019
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
92017
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
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
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
Evaluating the effectiveness of efficient neural architecture search for sentence-pair tasks
A MacLaughlin, J Dhamala, A Kumar, S Venkatapathy, R Venkatesan, ...
arXiv preprint arXiv:2010.04249, 2020
52020
Learning geometry-dependent and physics-based inverse image reconstruction
X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
Machine learning for health (ML4H) workshop at NeurIPS 2018
N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ...
arXiv preprint arXiv:1811.07216, 2018
52018
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
42022
Multivariate time-series similarity assessment via unsupervised representation learning and stratified locality sensitive hashing: Application to early acute hypotensive …
J Dhamala, E Azuh, A Al-Dujaili, J Rubin, UM O’Reilly
IEEE Sensors Letters 3 (1), 1-4, 2018
42018
Fast posterior estimation of cardiac electrophysiological model parameters via bayesian active learning
MS Zaman, J Dhamala, P Bajracharya, JL Sapp, BM Horácek, KC Wu, ...
Frontiers in Physiology 12, 2021
32021
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
12022
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