Umang Bhatt
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Explainable Machine Learning in Deployment
U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ...
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, ...
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021
Evaluating and Aggregating Feature-based Model Explanations
U Bhatt, A Weller, JMF Moura
International Joint Conference on Artificial Intelligence (IJCAI), 2020
You Shouldn't Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods.
B Dimanov, U Bhatt, M Jamnik, A Weller
European Conference on Artificial Intelligence (ECAI), 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates
J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato
International Conference on Learning Representations (ICLR), 2021
Intelligent Pothole Detection and Road Condition Assessment
U Bhatt, S Mani, E Xi, JZ Kolter
Data for Good Exchange (D4GX), 2017
Machine Learning Explainability for External Stakeholders
U Bhatt, MK Andrus, A Weller, A Xiang
ICML 2020 Workshop on Human Interpretability, 2020
On the fairness of causal algorithmic recourse
J von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9584-9594, 2022
Do Concept Bottleneck Models Learn as Intended?
A Margeloiu, M Ashman, U Bhatt, Y Chen, M Jamnik, A Weller
ICLR 2021 Workshop on Responsible AI, 2021
Building Human-Machine Trust via Interpretability
U Bhatt, P Ravikumar, J Moura
Proceedings of the AAAI Conference on Artificial Intelligence 33, 9919-9920, 2019
How transparency modulates trust in artificial intelligence
J Zerilli, U Bhatt, A Weller
Patterns, 100455, 2022
FIMAP: Feature Importance by Minimal Adversarial Perturbation
M Chapman-Rounds, U Bhatt, E Pazos, MA Schulz, K Georgatzis
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11433 …, 2021
On Network Science and Mutual Information for Explaining Deep Neural Networks
B Davis, U Bhatt, K Bhardwaj, R Marculescu, JMF Moura
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
A Robot’s Expressive Language Affects Human Strategy and Perceptions in a Competitive Game
AM Roth, S Reig, U Bhatt, J Shulgach, T Amin, A Doryab, F Fang, ...
2019 28th IEEE International Conference on Robot and Human Interactive …, 2019
Towards Aggregating Weighted Feature Attributions
U Bhatt, P Ravikumar, JMF Moura
AAAI 2019 Workshop on Network Interpretability for Deep Learning, 2019
On the Utility of Prediction Sets in Human-AI Teams
V Babbar, U Bhatt, A Weller
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Diagnostic Model Explanations: A Medical Narrative
U Bhatt, B Davis, JMF Moura
AAAI 2019 Spring Symposium: Interpretable AI for Well-being, 2019
Approximating full conformal prediction at scale via influence functions
J Abad, U Bhatt, A Weller, G Cherubin
arXiv preprint arXiv:2202.01315, 2022
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
U Bhatt, I Chien, MB Zafar, A Weller
arXiv preprint arXiv:2107.05978, 2021
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
D Ley, U Bhatt, A Weller
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2021
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