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Ayyagari, RS and Dukkipati, A (2023) Risk-Averse Combinatorial Semi-Bandits. In: IEEE International Symposium on Information Theory - Proceedings, 25 - 30 June 2023, Taipei, Taiwan, pp. 1472-1477.
Dukkipati, A and Banerjee, R and Ayyagari, RS and Udaybhai, DP (2022) Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm. In: IEEE International Conference on Intelligent Robots and Systems, 23 - 27 October 2022, Kyoto, pp. 2483-2489.
Kumar, A and Balaji, V and Chandrashekar, MA and Dukkipati, A and Vadhiyar, S (2022) Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. In: 36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, 30 May 2022 through 3 June 2022, pp. 186-195.
Gracious, T and Gupta, S and Kanthali, A and Castro, RM and Dukkipati, A (2021) Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 2 - 9 February 2021, Virtual, Online, pp. 4054-4062.
Gupta, S and Dukkipati, A (2020) Winning an election: On emergent strategic communication in multi-agent networks. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 13-19 May 2020, Virtual, Auckland, pp. 1861-1863.
Gupta, S and Hazra, R and Dukkipati, A (2020) Networked multi-agent reinforcement learning with emergent communication. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 19-13 May 2020, Virtual, Auckland, pp. 1858-1860.
Balgi, S and Dukkipati, A (2019) CUDA: Contradistinguisher for unsupervised domain adaptation. In: 19th IEEE International Conference on Data Mining, ICDM 2019, 8-11 November, 2019, Beijing; China, pp. 21-30.
Gupta, S and Sharma, G and Dukkipati, A (2019) A generative model for dynamic networks with applications. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence,, 27 January 2019 - 1 February 2019, Honolulu, pp. 7842-7849.
Shyam, P and Gupta, S and Dukkipati, A (2017) Attentive recurrent comparators. In: 34th International Conference on Machine Learning, ICML 2017, 6 - 11 August 2017, Sydney, pp. 4890-4898.
Kande, NA and Dakhane, R and Dukkipati, A and Yalavarthy, PK (2021) SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. In: IEEE Transactions on Medical Imaging, 40 (1). pp. 180-192.
Dukkipati, A and Bhatnagar, S and Murty, MN (2007) Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. In: Information Sciences, 177 (24). pp. 5707-5714.
