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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
7802020
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
2982021
Evaluating and Aggregating Feature-based Model Explanations
U Bhatt, A Weller, JMF Moura
International Joint Conference on Artificial Intelligence (IJCAI), 2020
2432020
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
1432021
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
1252020
How transparency modulates trust in artificial intelligence
J Zerilli, U Bhatt, A Weller
Patterns 3 (4), 2022
1202022
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
972022
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
932021
Harms from increasingly agentic algorithmic systems
A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
862023
Machine Learning Explainability for External Stakeholders
U Bhatt, MK Andrus, A Weller, A Xiang
ICML 2020 Workshop on Human Interpretability, 2020
822020
Intelligent Pothole Detection and Road Condition Assessment
U Bhatt, S Mani, E Xi, JZ Kolter
Data for Good Exchange (D4GX), 2017
812017
Uncertainty quantification with pre-trained language models: A large-scale empirical analysis
Y Xiao, PP Liang, U Bhatt, W Neiswanger, R Salakhutdinov, LP Morency
Findings of the Association for Computational Linguistics: EMNLP, 7273-7284, 2022
772022
Evaluating language models for mathematics through interactions
KM Collins, AQ Jiang, S Frieder, L Wong, M Zilka, U Bhatt, T Lukasiewicz, ...
Proceedings of the National Academy of Sciences 121 (24), e2318124121, 2024
572024
Eliciting and learning with soft labels from every annotator
KM Collins, U Bhatt, A Weller
Proceedings of the AAAI conference on human computation and crowdsourcing 10 …, 2022
552022
Human uncertainty in concept-based ai systems
KM Collins, M Barker, M Espinosa Zarlenga, N Raman, U Bhatt, M Jamnik, ...
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 869-889, 2023
392023
On the Utility of Prediction Sets in Human-AI Teams
V Babbar, U Bhatt, A Weller
International Joint Conference on Artificial Intelligence (IJCAI), 2022
392022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
D Ley, U Bhatt, A Weller
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7390-7398, 2022
282022
Towards robust metrics for concept representation evaluation
ME Zarlenga, P Barbiero, Z Shams, D Kazhdan, U Bhatt, A Weller, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11791 …, 2023
27*2023
Building Human-Machine Trust via Interpretability
U Bhatt, P Ravikumar, J Moura
Proceedings of the AAAI Conference on Artificial Intelligence 33, 9919-9920, 2019
232019
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
202021
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