| Promptaid: Prompt exploration, perturbation, testing and iteration using visual analytics for large language models A Mishra, U Soni, A Arunkumar, J Huang, BC Kwon, C Bryan arXiv preprint arXiv:2304.01964, 2023 | 121 | 2023 |
| Bridging the gap: Providing post-hoc symbolic explanations for sequential decision-making problems with inscrutable representations S Sreedharan, U Soni, M Verma, S Srivastava, S Kambhampati arXiv preprint arXiv:2002.01080, 2020 | 30 | 2020 |
| The perception of graph properties in graph layouts U Soni, Y Lu, B Hansen, HC Purchase, S Kobourov, R Maciejewski Computer Graphics Forum 37 (3), 169-181, 2018 | 30 | 2018 |
| Why? why not? when? visual explanations of agent behaviour in reinforcement learning A Mishra, U Soni, J Huang, C Bryan 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), 111-120, 2022 | 20 | 2022 |
| Same stats, different graphs: Exploring the space of graphs in terms of graph properties H Chen, U Soni, Y Lu, V Huroyan, R Maciejewski, S Kobourov IEEE transactions on visualization and computer graphics 27 (3), 2056-2072, 2019 | 16 | 2019 |
| Same Stats, Different Graphs: (Graph Statistics and Why We Need Graph Drawings) H Chen, U Soni, Y Lu, R Maciejewski, S Kobourov Graph Drawing and Network Visualization: 26th International Symposium, GD …, 2018 | 10 | 2018 |
| Not all users are the same: Providing personalized explanations for sequential decision making problems U Soni, S Sreedharan, S Kambhampati 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
| Real-time hand tracking using integrated optical flow and CAMshift algorithm U Soni, A Trivedi, N Roberts 2016 Second International Conference on Research in Computational …, 2016 | 6 | 2016 |
| Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion U Soni, N Thakur, S Sreedharan, L Guan, M Verma, M Marquez, ... arXiv preprint arXiv:2210.15096, 2022 | 5 | 2022 |
| An architecture for novelty handling in a multi-agent stochastic environment: Case study in open-world monopoly T Thai, M Shen, N Varshney, S Gopalakrishnan, U Soni, C Baral, ... Designing Artificial Intelligence for Open Worlds: Papers from the 2022 …, 2022 | 3 | 2022 |
| Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver S Gopalakrishnan, U Soni, T Thai, P Lymperopoulos, M Scheutz, ... arXiv preprint arXiv:2107.04303, 2021 | 1 | 2021 |
| Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments T Thai, M Shen, M Garg, A Kalani, N Vaidya, U Soni, M Verma, ... arXiv preprint arXiv:2302.14208, 2023 | | 2023 |
| Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences S Gopalakrishnan, U Soni arXiv preprint arXiv:2002.06288, 2020 | | 2020 |
| Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators SK Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava arXiv preprint arXiv:2002.01080, 2020 | | 2020 |
| Feature-directed Active Learning for Learning User Preferences S Gopalakrishnan, U Soni, S Kambhampati | | 2019 |
