Utkarsh Soni

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All published works

Action	Title	Year	Authors
+	Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments	2023	Tung Thai Ming Shen Mayank Garg Ayush Kalani Nakul Vaidya Utkarsh Soni Mudit Verma Sriram Gopalakrishnan Chitta Baral Subbarao Kambhampati
+	PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models	2023	Aditi Mishra Utkarsh Soni Anjana Arunkumar Jinbin Huang Bum Chul Kwon Chris Bryan
+	Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion	2022	Utkarsh Soni Sarath Sreedharan Mudit Verma Lin Guan Matthew Marquez Subbarao Kambhampati
+ PDF Chat	Not all users are the same: Providing personalized explanations for sequential decision making problems	2021	Utkarsh Soni Sarath Sreedharan Subbarao Kambhampati
+	Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations	2021	Sarath Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava Subbarao Kambhampati
+	Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning.	2021	Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan
+	Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver	2021	Sriram Gopalakrishnan Utkarsh Soni Tung Thai Panagiotis Lymperopoulos Matthias Scheutz Subbarao Kambhampati
+	Not all users are the same: Providing personalized explanations for sequential decision making problems	2021	Utkarsh Soni Sarath Sreedharan Subbarao Kambhampati
+	Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning	2021	Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan
+	Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators	2020	Sarath Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava Subbarao Kambhampati
+	Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences	2020	Sriram Gopalakrishnan Utkarsh Soni
+	Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations	2020	Sarath Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava Subbarao Kambhampati
+	Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties	2019	Hang Chen Utkarsh Soni Yafeng Lu Vahan Huroyan Ross Maciejewski Stephen Kobourov
+	Same Stats, Different Graphs (Graph Statistics and Why We Need Graph Drawings)	2018	Hang Chen Utkarsh Soni Yafeng Lu Vahan Huroyan Ross Maciejewski Stephen Kobourov

Common Coauthors

Coauthor	Papers Together
Subbarao Kambhampati	8
Sarath Sreedharan	6
Mudit Verma	5
Jinbin Huang	3
Sriram Gopalakrishnan	3
Chris Bryan	3
Siddharth Srivastava	3
Yafeng Lu	2
Matthias Scheutz	2
Stephen Kobourov	2
Ross Maciejewski	2
Tung Thai	2
Vahan Huroyan	2
Lin Guan	1
Panagiotis Lymperopoulos	1
Nakul Vaidya	1
Aditi Mishra	1
Aditi Mishra	1
Ayush Kalani	1
Matthew Marquez	1
Aditi Mishra	1
Hang Chen	1
Ming Shen	1
Mayank Garg	1
Jivko Sinapov	1
Bum Chul Kwon	1
Chitta Baral	1
Anjana Arunkumar	1
Hang Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy	2017	Tathagata Chakraborti Sarath Sreedharan Yu Zhang Subbarao Kambhampati	3
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	3
+	Towards Automatic Concept-based Explanations	2019	Amirata Ghorbani James Wexler James Zou Been Kim	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+ PDF Chat	Mixing patterns in networks	2003	M. E. J. Newman	2
+ PDF Chat	Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf Restraining Specifications	2021	Giuseppe De Giacomo Luca Iocchi Marco Favorito Fabio Patrizi	2
+ PDF Chat	Epidemic spreading in correlated complex networks	2002	Marián Boguñá Romualdo Pastor‐Satorras	2
+	Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy	2017	Tathagata Chakraborti Sarath Sreedharan Yu Zhang Subbarao Kambhampati	2
+ PDF Chat	Explainable Reinforcement Learning through a Causal Lens	2020	Prashan Madumal Tim Miller Liz Sonenberg Frank Vetere	2
+ PDF Chat	Assortative Mixing in Networks	2002	M. E. J. Newman	2
+	The Emerging Landscape of Explainable AI Planning and Decision Making.	2020	Tathagata Chakraborti Sarath Sreedharan Subbarao Kambhampati	2
+	Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution.	2019	Nikaash Puri Sukriti Verma Piyush Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh	2
+ PDF Chat	Diameter of the World-Wide Web	1999	Réka Albert Hawoong Jeong Albert‐László Barabási	2
+	Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences	2018	Jasper van der Waa Jurriaan van Diggelen Karel Van den Bosch Mark A. Neerincx	2
+ PDF Chat	Scale-free topology of e-mail networks	2002	Holger Ebel Lutz-Ingo Mielsch Stefan Bornholdt	2
+ PDF Chat	Cycles and clustering in bipartite networks	2005	Pedro G. Lind Marta C. González Hans J. Herrmann	2
+ PDF Chat	Structure of Growing Networks with Preferential Linking	2000	S. N. Dorogovt︠s︡ev J. F. F. Mendes A. N. Samukhin	2
+	Metrics for Explainable AI: Challenges and Prospects.	2018	Robert R. Hoffman Shane T. Mueller Gary Klein Jordan A. Litman	2
+	Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions	2020	Zhengxian Lin Kim-Ho Lam Alan Fern	2
+	Interactive Naming for Explaining Deep Neural Networks: A Formative Study	2018	Mandana Hamidi‐Haines Zhongang Qi Alan Fern Fuxin Li Prasad Tadepalli	2
+	Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making	2019	Carrie J. Cai Emily Reif Narayan Hegde Jason Hipp Been Kim Daniel Smilkov Martin Wattenberg Fernanda Viégas Greg S. Corrado Martin C. Stumpe	2
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	2
+ PDF Chat	Statistical mechanics of complex networks	2002	Réka Albert Albert‐László Barabási	2
+	Explaining Reinforcement Learning to Mere Mortals: An Empirical Study	2019	A. W. Anderson Jonathan Dodge Amrita Sadarangani Zoe Juozapaitis Evan Newman Jed Irvine Souti Chattopadhyay Alan Fern Margaret Burnett	2
+ PDF Chat	The Structure and Function of Complex Networks	2003	Michael Newman	2
+	Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction.	2021	Zahra Zahedi Mudit Verma Sarath Sreedharan Subbarao Kambhampati	2
+ PDF Chat	Self-similar community structure in a network of human interactions	2003	Roger Guimerà León Danon Albert Dı́az-Guilera Francesc Giralt Àlex Arenas	2
+	Explanation in artificial intelligence: Insights from the social sciences	2018	Tim Miller	2
+ PDF Chat	Small-world properties of the Indian railway network	2003	Parongama Sen Subinay Dasgupta Arnab Chatterjee P. A. Sreeram G. Mukherjee S. S. Manna	2
+	Detection of topological patterns in complex networks: correlation profile of the internet	2003	Sergei Maslov Kim Sneppen Alexei Zaliznyak	2
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	2
+	Grad-CAM: Why did you say that?	2016	Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra	2
+ PDF Chat	Scaling and percolation in the small-world network model	1999	M. E. J. Newman Duncan J. Watts	2
+ PDF Chat	DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning	2020	Théo Jaunet Romain Vuillemot Christian Wolf	1
+	Interactive Visualization for Debugging RL	2020	Shuby Deshpande Benjamin Eysenbach Jeff Schneider	1
+	Distal Explanations for Model-free Explainable Reinforcement Learning	2020	Prashan Madumal Tim Miller Liz Sonenberg Frank Vetere	1
+ PDF Chat	HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models	2020	Qianwen Wang William H. Alexander Jack Pegg Huamin Qu Min Chen	1
+ PDF Chat	<i>CNN</i>Pruner: Pruning Convolutional Neural Networks with Visual Analytics	2020	Li Guan Junpeng Wang Han‐Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu	1
+ PDF Chat	DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models	2020	Furui Cheng Ming Yao Huamin Qu	1
+ PDF Chat	Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks	2015	Stefanos Nikolaidis Ramya Ramakrishnan Keren Gu Julie Shah	1
+ PDF Chat	Machine versus Human Attention in Deep Reinforcement Learning Tasks	2020	Ruohan Zhang Sihang Guo Bo Liu Yifeng Zhu Mary Hayhoe Dana H. Ballard Peter Stone	1
+	Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach.	2021	Marina Haliem Trevor Bonjour Aala Oqab Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal Bharat Bhargava Mayank Kejriwal	1
+ PDF Chat	The Mythos of Model Interpretability	2018	Zachary C. Lipton	1
+	Leveraging Latent Features for Local Explanations	2019	Ronny Luss Pin‐Yu Chen Amit Dhurandhar Prasanna Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun‐Chen Tu	1
+ PDF Chat	Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach	2022	Trevor Bonjour Marina Haliem Aala Oqab Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal Mayank Kejriwal Bharat Bhargava	1
+	The Emerging Landscape of Explainable AI Planning and Decision Making	2020	Tathagata Chakraborti Sarath Sreedharan Subbarao Kambhampati	1
+	On random graphs. I.	2022	P. Erdős A. Rényi	1
+	Generating Graphs Uniformly at Random	1990	G. Tinhofer	1
+	Practical graph isomorphism, II	2013	Brendan D. McKay Adolfo Piperno	1
+ PDF Chat	Privacy Preserving Social Network Publication against Mutual Friend Attacks	2013	Chongjing Sun Philip S. Yu Xiangnan Kong Yan Fu	1