Jwala Dhamala

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 45

Top Topics

Text Classifiers

Gaussian Process

Markov Chain Monte Carlo

Generative Model

Top Venues

Publications

Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR (2024)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR (2023)
Caleb Ziems, William Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
Multi-VALUE: A Framework for Cross-Dialectal English NLP. ACL (1) (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT (2023)
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
Incorporating Fairness in Large Scale NLU Systems. WSDM (2023)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) (2023)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) (2022)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) (2022)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR (2022)
Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
Measuring Fairness of Text Classifiers via Prediction Sensitivity. CoRR (2022)
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT (2022)
Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
Measuring Fairness of Text Classifiers via Prediction Sensitivity. ACL (1) (2022)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR (2022)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR (2022)
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR (2022)
Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. CoRR (2021)
Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh
Measures and Best Practices for Responsible AI. KDD (2021)
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT (2021)
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR (2021)
Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning. CoRR (2021)
Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. ACL/IJCNLP (Findings) (2021)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. CoRR (2020)
Jwala Dhamala, Pradeep Bajracharya, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models. Medical Image Anal. 62 (2020)
Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. CoRR (2020)
Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. Insights (2020)
Jwala Dhamala, John L. Sapp, B. Milan Horácek, Linwei Wang
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. CoRR (2020)
Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR (2020)
Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) (2020)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. CoRR (2019)
Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. CoRR (2019)
Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. IPMI (2019)
Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, B. Milan Horácek, Linwei Wang
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. CoRR (2019)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. MICCAI (2) (2019)
Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR (2018)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. MICCAI (2) (2018)
Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology. Medical Image Anal. 48 (2018)
Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. MICCAI (2) (2018)
Jwala Dhamala, Jaume Coll-Font, Jess D. Tate, María de la Salud Guillem Sánchez, Dana H. Brooks, Linwei Wang, Rob S. MacLeod, Sandesh Ghimire
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC (2017)
Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. IPMI (2017)
Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology. IEEE Trans. Medical Imaging 36 (9) (2017)
Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. MICCAI (3) (2016)
Jaume Coll-Font, Dana H. Brooks, Peter M. van Dam, Jwala Dhamala, Olaf Dössel, María de la Salud Guillem Sánchez, Rob S. MacLeod, Danila Potyagaylo, Walther H. W. Schulze, Jess D. Tate, Linwei Wang
The Consortium on Electrocardiographic Imaging. CinC (2016)