Umang Bhatt

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Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Alice XiangLead Research Scientist (AI Ethics), Sony AIVerified email at sony.com
Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Ankur TalyStaff Research Scientist, GoogleVerified email at google.com
Q.Vera LiaoMicrosoft ResearchVerified email at microsoft.com
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Rumi ChunaraNew York UniversityVerified email at alum.mit.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Radu MarculescuThe University of Texas at AustinVerified email at utexas.edu
Muhammad Bilal ZafarAmazon Web ServicesVerified email at mpi-sws.org
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College LondonVerified email at ucl.ac.uk
Hoda HeidariCarnegie Mellon UniversityVerified email at cmu.edu
Ameet TalwalkarCMUVerified email at cmu.edu

Umang Bhatt

University of Cambridge

Verified email at cam.ac.uk - Homepage

Machine Learning Artificial Intelligence Explainability Human-Machine Teams


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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	381	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	91	2021
Evaluating and Aggregating Feature-based Model Explanations U Bhatt, A Weller, JMF Moura International Joint Conference on Artificial Intelligence (IJCAI), 2020	77	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	70	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	54	2021
Intelligent Pothole Detection and Road Condition Assessment U Bhatt, S Mani, E Xi, JZ Kolter Data for Good Exchange (D4GX), 2017	41	2017
Machine Learning Explainability for External Stakeholders U Bhatt, MK Andrus, A Weller, A Xiang ICML 2020 Workshop on Human Interpretability, 2020	40	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	28	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	25	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	13	2019
How transparency modulates trust in artificial intelligence J Zerilli, U Bhatt, A Weller Patterns, 100455, 2022	12	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	9	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	9	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	9	2019
Towards Aggregating Weighted Feature Attributions U Bhatt, P Ravikumar, JMF Moura AAAI 2019 Workshop on Network Interpretability for Deep Learning, 2019	9	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	5	2022
Diagnostic Model Explanations: A Medical Narrative U Bhatt, B Davis, JMF Moura AAAI 2019 Spring Symposium: Interpretable AI for Well-being, 2019	5	2019
Approximating full conformal prediction at scale via influence functions J Abad, U Bhatt, A Weller, G Cherubin arXiv preprint arXiv:2202.01315, 2022	4	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	4	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	4	2021

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