Umang Bhatt - RankMe

82 papers A* 11A 4B 3C 2Misc 1Journal 52Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Belief Offloading in Human-AI Interaction. CoRR Rose E. Guingrich, Dvija Mehta, Umang Bhatt
2026	J	`jnl`	RCTs & Human Uplift Studies: Methodological Challenges and Practical Solutions for Frontier AI Evaluation. CoRR Patricia Paskov, Kevin Wei, Shen Zhou Hong, Dan Bateyko, Xavier Roberts-Gaal, Carson Ezell, Gailius Praninskas, Valerie Chen, Umang Bhatt, Ella Guest
2025	J	`jnl`	Beyond Quantification: Navigating Uncertainty in Professional AI Systems. CoRR Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gaël Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill W. Campbell, Mennatallah El-Assady, Søren Hauberg, Ivana Dusparic, Neil D. Lawrence
2025	J	`jnl`	Context-specific certification of AI systems: a pilot in the financial industry. AI Ethics Kendall Brogle, Emma Kallina, Holli Sargeant, Var Shankar, Adrian Weller, Ashley Casovan, Umang Bhatt
2025	J	`jnl`	Documenting Deployment with Fabric: A Repository of Real-World AI Governance. CoRR Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt
2025	J	`jnl`	Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems. CoRR Matthew Barker, Andrew Bell, Evan Thomas, James Carr, Thomas Andrews, Umang Bhatt
2025	A*	`conf`	Learning Personalized Decision Support Policies. AAAI Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2025	J	`jnl`	Measuring and mitigating overreliance is necessary for building human-compatible AI. CoRR Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim, Anka Reuel, Max Lamparth, Kevin Feng, Lama Ahmad, Prajna Soni, Alia El Kattan, Merlin Stein, Siddharth Swaroop, Ilia Sucholutsky, Andrew Strait, Q. Vera Liao, Umang Bhatt
2025	J	`jnl`	Revisiting Rogers' Paradox in the Context of Human-AI Interaction. CoRR Katherine M. Collins, Umang Bhatt, Ilia Sucholutsky
2025	J	`jnl`	Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI. CoRR Holli Sargeant, Mackenzie Jorgensen, Arina Shah, Adrian Weller, Umang Bhatt
2025	J	`jnl`	When Should We Orchestrate Multiple Agents? CoRR Umang Bhatt, Sanyam Kapoor, Mihir Upadhyay, Ilia Sucholutsky, Francesco Quinzan, Katherine M. Collins, Adrian Weller, Andrew Gordon Wilson, Muhammad Bilal Zafar
2024	J	`jnl`	Building Machines that Learn and Think with People. CoRR Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark K. Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths
2024	J	`jnl`	Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths
2024	B	`conf`	Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction. CogSci Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths
2024	A*	`conf`	Large Language Models Must Be Taught to Know What They Don't Know. NeurIPS Sanyam Kapoor, Nate Gruver, Manley Roberts, Katie Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
2024	J	`jnl`	Large Language Models Must Be Taught to Know What They Don't Know. CoRR Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine M. Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
2024	J	`jnl`	Modulating Language Model Experiences through Frictions. CoRR Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
2024	J	`jnl`	Representational Alignment Supports Effective Machine Teaching. CoRR 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
2024	J	`jnl`	When Should Algorithms Resign? CoRR Umang Bhatt, Holli Sargeant
2024	J	`jnl`	When Should Algorithms Resign? A Proposal for AI Governance. Computer Umang Bhatt, Holli Sargeant
2023	J	`jnl`	Algorithmic loafing and mitigation strategies in Human-AI teams. Comput. Hum. Behav. Artif. Humans Isa Inuwa-Dutse, Alice Toniolo, Adrian Weller, Umang Bhatt
2023	A*	`conf`	Approximating Full Conformal Prediction at Scale via Influence Functions. AAAI Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin
2023	J	`jnl`	Evaluating Language Models for Mathematics through Interactions. CoRR 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
2023	—	`conf`	FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. EAAMO Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
2023	J	`jnl`	FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. CoRR Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
2023	—	`conf`	GeValDi: Generative Validation of Discriminative Models. Tiny Papers @ ICLR Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt
2023	—	`conf`	Harms from Increasingly Agentic Algorithmic Systems. FAccT Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
2023	J	`jnl`	Harms from Increasingly Agentic Algorithmic Systems. CoRR Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
2023	C	`conf`	Human Uncertainty in Concept-Based AI Systems. AIES Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
2023	J	`jnl`	Human Uncertainty in Concept-Based AI Systems. CoRR Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
2023	A	`conf`	Human-in-the-Loop Mixup. UAI Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
2023	A	`conf`	Iterative Teaching by Data Hallucination. AISTATS Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
2023	J	`jnl`	Learning Personalized Decision Support Policies. CoRR Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2023	A	`conf`	On the informativeness of supervision signals. UAI Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
2023	J	`jnl`	Perspectives on incorporating expert feedback into model updates. Patterns Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
2023	J	`jnl`	Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. CoRR Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt
2023	A*	`conf`	Towards Robust Metrics for Concept Representation Evaluation. AAAI Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
2023	J	`jnl`	Towards Robust Metrics for Concept Representation Evaluation. CoRR Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
2022	J	`jnl`	Approximating Full Conformal Prediction at Scale via Influence Functions. CoRR Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin
2022	A*	`conf`	Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. AAAI Dan Ley, Umang Bhatt, Adrian Weller
2022	B	`conf`	Eliciting and Learning with Soft Labels from Every Annotator. HCOMP Katherine M. Collins, Umang Bhatt, Adrian Weller
2022	J	`jnl`	Eliciting and Learning with Soft Labels from Every Annotator. CoRR Katherine M. Collins, Umang Bhatt, Adrian Weller
2022	J	`jnl`	How transparency modulates trust in artificial intelligence. Patterns John Zerilli, Umang Bhatt, Adrian Weller
2022	J	`jnl`	Iterative Teaching by Data Hallucination. CoRR Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
2022	A*	`conf`	On the Fairness of Causal Algorithmic Recourse. AAAI Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
2022	A*	`conf`	On the Utility of Prediction Sets in Human-AI Teams. IJCAI Varun Babbar, Umang Bhatt, Adrian Weller
2022	J	`jnl`	On the Utility of Prediction Sets in Human-AI Teams. CoRR Varun Babbar, Umang Bhatt, Adrian Weller
2022	J	`jnl`	Perspectives on Incorporating Expert Feedback into Model Updates. CoRR Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
2022	J	`jnl`	Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. CoRR Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski
2022	—	`conf`	Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. EMNLP (Findings) Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
2022	J	`jnl`	Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. CoRR Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
2022	J	`jnl`	Web-based Elicitation of Human Perception on mixup Data. CoRR Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller
2021	J	`jnl`	A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke
2021	J	`jnl`	DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. CoRR Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
2021	J	`jnl`	Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. CoRR Dan Ley, Umang Bhatt, Adrian Weller
2021	J	`jnl`	Do Concept Bottleneck Models Learn as Intended? CoRR Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller
2021	A*	`conf`	FIMAP: Feature Importance by Minimal Adversarial Perturbation. AAAI Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis
2021	—	`conf`	Fast conformal classification using influence functions. COPA Umang Bhatt, Adrian Weller, Giovanni Cherubin
2021	A*	`conf`	Getting a CLUE: A Method for Explaining Uncertainty Estimates. ICLR Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato
2021	C	`conf`	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 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
2021	J	`jnl`	δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates. CoRR Dan Ley, Umang Bhatt, Adrian Weller
2020	A*	`conf`	Evaluating and Aggregating Feature-based Model Explanations. IJCAI Umang Bhatt, Adrian Weller, José M. F. Moura
2020	J	`jnl`	Evaluating and Aggregating Feature-based Model Explanations. CoRR Umang Bhatt, Adrian Weller, José M. F. Moura
2020	—	`conf`	Explainable machine learning in deployment. FAT* Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
2020	J	`jnl`	Getting a CLUE: A Method for Explaining Uncertainty Estimates. CoRR Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato
2020	J	`jnl`	Machine Learning Explainability for External Stakeholders. CoRR Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang
2020	Misc	`conf`	On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
2020	J	`jnl`	On the Fairness of Causal Algorithmic Recourse. CoRR Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
2020	J	`jnl`	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR 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
2020	—	`conf`	You Shouldn't Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods. SafeAI@AAAI Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller
2020	A	`conf`	You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods. ECAI Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller
2019	B	`conf`	A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
2019	J	`jnl`	A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
2019	A*	`conf`	Building Human-Machine Trust via Interpretability. AAAI Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
2019	—	`conf`	Diagnostic Model Explanations: A Medical Narrative. AAAI Spring Symposium: Interpretable AI for Well-being Umang Bhatt, Brian Davis, José M. F. Moura
2019	J	`jnl`	Explainable Machine Learning in Deployment. CoRR Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
2019	J	`jnl`	NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
2019	J	`jnl`	Towards Aggregating Weighted Feature Attributions. CoRR Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
2018	—	`conf`	Maintaining the Humanity of Our Models. AAAI Spring Symposia Umang Bhatt
2018	J	`jnl`	The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso
2017	J	`jnl`	Intelligent Pothole Detection and Road Condition Assessment. CoRR Umang Bhatt, Shouvik Mani, Edgar Xi, J. Zico Kolter
2017	J	`jnl`	Maintaining The Humanity of Our Models. CoRR Umang Bhatt