| Attentive recurrent comparators P Shyam, S Gupta, A Dukkipati International conference on machine learning, 3173-3181, 2017 | 157 | 2017 |
| Networked Multi-Agent Reinforcement Learning with Emergent Communication S Gupta, R Hazra, A Dukkipati arXiv preprint arXiv:2004.02780, 2020 | 32 | 2020 |
| Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs T Gracious, S Gupta, A Kanthali, RM Castro, A Dukkipati Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4054-4062, 2021 | 21 | 2021 |
| Species complex delimitations in the genus Hedychium: A machine learning approach for cluster discovery P Saryan, S Gupta, V Gowda Applications in plant sciences 8 (7), e11377, 2020 | 20 | 2020 |
| Differentiable Rule Induction with Learned Relational Features R Kusters, Y Kim, M Collery, CS Marie, S Gupta arXiv preprint arXiv:2201.06515, 2022 | 17 | 2022 |
| A Generative Model for Dynamic Networks with Applications S Gupta, G Sharma, A Dukkipati Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7842-7849, 2019 | 17* | 2019 |
| Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees S Gupta, A Dukkipati arXiv preprint arXiv:2105.03714, 2021 | 16 | 2021 |
| Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation R Hazra, P Dutta, S Gupta, MA Qaathir, A Dukkipati arXiv preprint arXiv:2103.06490, 2021 | 16* | 2021 |
| Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. S Gupta, A Dukkipati AAMAS, 1861-1863, 2020 | 10* | 2020 |
| Optimal and efficient dynamic regret algorithms for non-stationary dueling bandits A Saha, S Gupta International Conference on Machine Learning, 19027-19049, 2022 | 8 | 2022 |
| CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India A Dukkipati, T Gracious, S Gupta arXiv preprint arXiv:2109.06056, 2021 | 3 | 2021 |
| Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates S Gupta, A Dukkipati, RM Castro arXiv preprint arXiv:1911.04172, 2019 | 3* | 2019 |
| Statements: Universal information extraction from tables with large language models for ESG KPIs L Mishra, S Dhibi, Y Kim, CB Ramis, S Gupta, M Dolfi, P Staar arXiv preprint arXiv:2406.19102, 2024 | 2 | 2024 |
| Clustering Items From Adaptively Collected Inconsistent Feedback S Gupta, PWJ Staar, C de Sainte Marie International Conference on Artificial Intelligence and Statistics, 604-612, 2024 | 2 | 2024 |
| Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach S Gupta, A Dukkipati | 2 | 2019 |
| Docling Technical Report C Auer, M Lysak, A Nassar, M Dolfi, N Livathinos, P Vagenas, CB Ramis, ... arXiv preprint arXiv:2408.09869, 2024 | | 2024 |
| On consistency of constrained spectral clustering under representation-aware stochastic block model S Gupta, A Dukkipati arXiv preprint arXiv:2203.02005, 2022 | | 2022 |
| Pure Exploration with Structured Preference Feedback S Gupta, A Saha, S Katariya arXiv preprint arXiv:2104.05294, 2021 | | 2021 |
Ambedkar DukkipatiProfessor, Department of Computer Science and Automation, Indian Institute of ScienceVerified email at iisc.ac.in
