The Consortium on Electrocardiographic Imaging. - 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 (CinC, 2016)

Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. - Jwala Dhamala; John L. Sapp; Milan Horacek; Linwei Wang (MICCAI (3), 2016)

Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. - Jwala Dhamala; Jaume Coll-Font; Jess D. Tate; María de la Salud Guillem Sánchez; Dana H. Brooks; Linwei Wang; Rob S. MacLeod; Sandesh Ghimire (CinC, 2017)

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. - Jwala Dhamala; John L. Sapp; Milan Horacek; Linwei Wang (IPMI, 2017)

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology. - Jwala Dhamala; Hermenegild Arevalo; John L. Sapp; Milan Horacek; Katherine C. Wu; Natalia A. Trayanova; Linwei Wang (IEEE Trans. Medical Imaging, 2017)

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. - Jwala Dhamala; Sandesh Ghimire; John L. Sapp; B. Milan Horácek; Linwei Wang (MICCAI (2), 2018)

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. - Sandesh Ghimire; Jwala Dhamala; Prashnna Kumar Gyawali; John L. Sapp; Milan Horacek; Linwei Wang (MICCAI (2), 2018)

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. - Jwala Dhamala; Emmanuel Azuh; Abdullah Al-Dujaili; Jonathan Rubin; Una-May O'Reilly (CoRR, 2018)

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology. - Jwala Dhamala; Hermenegild Arevalo; John L. Sapp; B. Milan Horácek; Katherine C. Wu; Natalia A. Trayanova; Linwei Wang (Medical Image Anal., 2018)

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. - Sandesh Ghimire; Prashnna Kumar Gyawali; Jwala Dhamala; John L. Sapp; Milan Horacek; Linwei Wang (IPMI, 2019)

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. - Jwala Dhamala; Sandesh Ghimire; John L. Sapp; B. Milan Horácek; Linwei Wang (MICCAI (2), 2019)

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. - Ansel MacLaughlin; Jwala Dhamala; Anoop Kumar; Sriram Venkatapathy; Ragav Venkatesan; Rahul Gupta 001 (Insights, 2020)

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. - Xiajun Jiang; Sandesh Ghimire; Jwala Dhamala; Zhiyuan Li 007; Prashnna Kumar Gyawali; Linwei Wang (MICCAI (6), 2020)

Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models. - Jwala Dhamala; Pradeep Bajracharya; Hermenegild Arevalo; John L. Sapp; B. Milan Horácek; Katherine C. Wu; Natalia A. Trayanova; Linwei Wang (Medical Image Anal., 2020)

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. - Yada Pruksachatkun; Satyapriya Krishna; Jwala Dhamala; Rahul Gupta 001; Kai-Wei Chang (ACL/IJCNLP (Findings), 2021)

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. - Jwala Dhamala; Tony Sun; Varun Kumar; Satyapriya Krishna; Yada Pruksachatkun; Kai-Wei Chang; Rahul Gupta 001 (FAccT, 2021)

Measures and Best Practices for Responsible AI. - Sunipa Dev; Mehrnoosh Sameki; Jwala Dhamala; Cho-Jui Hsieh (KDD, 2021)

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning. - Md Shakil Zaman; Jwala Dhamala; Pradeep Bajracharya; John L. Sapp; B. Milan Horácek; Katherine C. Wu; Natalia A. Trayanova; Linwei Wang (CoRR, 2021)

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. - Yang Trista Cao; Yada Pruksachatkun; Kai-Wei Chang; Rahul Gupta 001; Varun Kumar; Jwala Dhamala; Aram Galstyan (ACL (2), 2022)

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. - Umang Gupta; Jwala Dhamala; Varun Kumar; Apurv Verma; Yada Pruksachatkun; Satyapriya Krishna; Rahul Gupta 001; Kai-Wei Chang; Greg Ver Steeg; Aram Galstyan (ACL (Findings), 2022)

Measuring Fairness of Text Classifiers via Prediction Sensitivity. - Satyapriya Krishna; Rahul Gupta 001; Apurv Verma; Jwala Dhamala; Yada Pruksachatkun; Kai-Wei Chang (ACL (1), 2022)

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. - Jwala Dhamala; Varun Kumar; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (SLT, 2022)

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2022)

Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (ACL (1), 2023)

Multi-VALUE: A Framework for Cross-Dialectal English NLP. - Caleb Ziems; William Held; Jingfeng Yang 001; Jwala Dhamala; Rahul Gupta 001; Diyi Yang (ACL (1), 2023)

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. - Anaelia Ovalle; Palash Goyal; Jwala Dhamala; Zachary Jaggers; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (FAccT, 2023)

Incorporating Fairness in Large Scale NLU Systems. - Rahul Gupta 001; Lisa Bauer; Kai-Wei Chang; Jwala Dhamala; Aram Galstyan; Palash Goyal; Qian Hu; Avni Khatri; Rohit Parimi; Charith Peris; Apurv Verma; Richard S. Zemel; et al. (WSDM, 2023)

JAB: Joint Adversarial Prompting and Belief Augmentation. - Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Jwala Dhamala; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. - Elan Markowitz; Anil Ramakrishna; Jwala Dhamala; Ninareh Mehrabi; Charith Peris; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (ACL (1), 2024)

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Yuval Pinter; Rahul Gupta 001 (NAACL-HLT (Findings), 2024)

MICo: Preventative Detoxification of Large Language Models through Inhibition Control. - Roy Siegelmann; Ninareh Mehrabi; Palash Goyal; Prasoon Goyal; Lisa Bauer; Jwala Dhamala; Aram Galstyan; Rahul Gupta 001; Reza Ghanadan (NAACL-HLT (Findings), 2024)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)