| Are language models actually useful for time series forecasting? M Tan, MA Merrill, V Gupta, T Althoff, T Hartvigsen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 28 | 2024 |
| Learning temporal point processes with intermittent observations V Gupta, S Bedathur, S Bhattacharya, A De International Conference on Artificial Intelligence and Statistics, 3790-3798, 2021 | 28 | 2021 |
| Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer V Gupta, S Bedathur ACM Transactions on Intelligent Systems and Technology (TIST) 13 (3), 1-24, 2022 | 25 | 2022 |
| Teaching Old DB Neu (ral) Tricks: Learning Embeddings on Multi-tabular Databases G Gaur, R Singh, S Arora, V Gupta, S Bedathur Proceedings of the 6th Joint International Conference on Data Science …, 2023 | 23* | 2023 |
| ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences V Gupta, S Bedathur Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 17 | 2022 |
| Modeling Implicit Communities from Geo-Tagged Event Traces using Spatio-Temporal Point Processes A Likhyani, V Gupta, PK Srijith, D P, S Bedathur Web Information Systems Engineering–WISE 2020: 21st International Conference …, 2020 | 17 | 2020 |
| Language Models Still Struggle to Zero-shot Reason about Time Series MA Merrill, M Tan, V Gupta, T Hartvigsen, T Althoff arXiv preprint arXiv:2404.11757, 2024 | 16 | 2024 |
| Lbrr: Load Balanced Ring Routing Protocol for Heterogeneous Sensor Networks with Sink Mobility S Maurya, V Gupta, VK Jain 2017 IEEE wireless communications and networking Conference (WCNC), 1-6, 2017 | 16 | 2017 |
| Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences V Gupta, S Bedathur, A De Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4005-4013, 2022 | 15 | 2022 |
| Region Invariant Normalizing Flows for Mobility Transfer V Gupta, S Bedathur Proceedings of the 30th ACM International Conference on Information …, 2021 | 14 | 2021 |
| SPML: A DSL for Defending Language Models Against Prompt Attacks RK Sharma, V Gupta, D Grossman arXiv preprint arXiv:2402.11755, 2024 | 11 | 2024 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes V Gupta, S Bedathur, S Bhattacharya, A De ACM Transactions on Intelligent Systems and Technology (TIST) 13 (6), 1-26, 2022 | 8 | 2022 |
| Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations K Kaur, M Chadha, V Gupta, C Shah arXiv preprint arXiv:2501.04762, 2025 | 3* | 2025 |
| Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs V Gupta, S Bedathur IEEE Transactions on Big Data 9 (2), 608-620, 2022 | 3 | 2022 |
| Modeling Time-Series and Spatial Data for Recommendations and Other Applications V Gupta IIT Delhi, 2022 | 2 | 2022 |
| Region invariant normalizing flows for mobility transfer G Vinayak, B Srikanta CIKM, 2021 | 2 | 2021 |
| Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications RK Sharma, V Gupta, D Grossman 2024 IEEE Security and Privacy Workshops (SPW), 112-131, 2024 | 1 | 2024 |
| Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows V Gupta, S Bedathur ACM Transactions on Intelligent Systems and Technology 15 (3), 1-27, 2024 | 1 | 2024 |
| Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing V Gupta, S Bedathur, A De ACM Transactions on Intelligent Systems and Technology, 2023 | 1 | 2023 |
| Learning Neural Models for Continuous-Time Sequences V Gupta Proceedings of the First International Conference on AI-ML Systems, 2021 | 1 | 2021 |
Srikanta BedathurIIT DelhiVerified email at cse.iitd.ac.in
