Umang Bhatt

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 66

Top Topics

Mutual Information

Conformal Prediction

Top Venues

Publications

Umang Bhatt, Holli Sargeant
When Should Algorithms Resign? CoRR (2024)
Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths
Representational Alignment Supports Effective Machine Teaching. CoRR (2024)
Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine M. Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
Large Language Models Must Be Taught to Know What They Don't Know. CoRR (2024)
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR (2024)
Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
Modulating Language Model Experiences through Frictions. CoRR (2024)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
Human-in-the-Loop Mixup. UAI (2023)
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Perspectives on incorporating expert feedback into model updates. Patterns 4 (7) (2023)
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
Harms from Increasingly Agentic Algorithmic Systems. FAccT (2023)
Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik
Evaluating Language Models for Mathematics through Interactions. CoRR (2023)
Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
On the informativeness of supervision signals. UAI (2023)
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. EAAMO (2023)
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. CoRR (2023)
Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin
Approximating Full Conformal Prediction at Scale via Influence Functions. AAAI (2023)
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
Harms from Increasingly Agentic Algorithmic Systems. CoRR (2023)
Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. CoRR (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. CoRR (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. AAAI (2023)
Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
Human Uncertainty in Concept-Based AI Systems. AIES (2023)
Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
Learning Personalized Decision Support Policies. CoRR (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. AISTATS (2023)
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
Human Uncertainty in Concept-Based AI Systems. CoRR (2023)
Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt
GeValDi: Generative Validation of Discriminative Models. Tiny Papers @ ICLR (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. CoRR (2022)
Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. AAAI (2022)
Varun Babbar, Umang Bhatt, Adrian Weller
On the Utility of Prediction Sets in Human-AI Teams. IJCAI (2022)
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Perspectives on Incorporating Expert Feedback into Model Updates. CoRR (2022)
Katherine M. Collins, Umang Bhatt, Adrian Weller
Eliciting and Learning with Soft Labels from Every Annotator. HCOMP (2022)
Varun Babbar, Umang Bhatt, Adrian Weller
On the Utility of Prediction Sets in Human-AI Teams. CoRR (2022)
Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. CoRR (2022)
John Zerilli, Umang Bhatt, Adrian Weller
How transparency modulates trust in artificial intelligence. Patterns 3 (4) (2022)
Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. EMNLP (Findings) (2022)
Javier Abad, Umang Bhatt, Adrian Weller, Giovanni Cherubin
Approximating Full Conformal Prediction at Scale via Influence Functions. CoRR (2022)
Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. CoRR (2022)
Dan Ley, Umang Bhatt, Adrian Weller
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. AAAI (2022)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller
Web-based Elicitation of Human Perception on mixup Data. CoRR (2022)
Katherine M. Collins, Umang Bhatt, Adrian Weller
Eliciting and Learning with Soft Labels from Every Annotator. CoRR (2022)
Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. CoRR (2021)
Dan Ley, Umang Bhatt, Adrian Weller
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. CoRR (2021)
Umang Bhatt, Adrian Weller, Giovanni Cherubin
Fast conformal classification using influence functions. COPA (2021)
Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR (2021)
Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato
Getting a CLUE: A Method for Explaining Uncertainty Estimates. ICLR (2021)
Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis
FIMAP: Feature Importance by Minimal Adversarial Perturbation. AAAI (2021)
Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES (2021)
Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller
Do Concept Bottleneck Models Learn as Intended? CoRR (2021)
Dan Ley, Umang Bhatt, Adrian Weller
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates. CoRR (2021)
Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller
You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods. ECAI (2020)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP (2020)
Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. CoRR (2020)
Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR (2020)
Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato
Getting a CLUE: A Method for Explaining Uncertainty Estimates. CoRR (2020)
Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang
Machine Learning Explainability for External Stakeholders. CoRR (2020)
Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller
You Shouldn't Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods. SafeAI@AAAI (2020)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable machine learning in deployment. FAT* (2020)
Umang Bhatt, Adrian Weller, José M. F. Moura
Evaluating and Aggregating Feature-based Model Explanations. CoRR (2020)
Umang Bhatt, Adrian Weller, José M. F. Moura
Evaluating and Aggregating Feature-based Model Explanations. IJCAI (2020)
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
Building Human-Machine Trust via Interpretability. AAAI (2019)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable Machine Learning in Deployment. CoRR (2019)
Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR (2019)
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
Towards Aggregating Weighted Feature Attributions. CoRR (2019)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR (2019)
Umang Bhatt, Brian Davis, José M. F. Moura
Diagnostic Model Explanations: A Medical Narrative. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN (2019)
Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR (2018)
Umang Bhatt
Maintaining the Humanity of Our Models. AAAI Spring Symposia (2018)
Umang Bhatt, Shouvik Mani, Edgar Xi, J. Zico Kolter
Intelligent Pothole Detection and Road Condition Assessment. CoRR (2017)
Umang Bhatt
Maintaining The Humanity of Our Models. CoRR (2017)