2025

1. WWW 25

   Graph Regularized Encoder Training for Extreme Classification

   A. Mittal , S. Mohan , D. Saini , and 10 more authors

   In Companion Proceedings of the ACM on Web Conference , 2025

   Bib PDF

   @inproceedings{RAMEN24,
     author = {Mittal, A. and Mohan, S. and Saini, D. and Asokan, S. and Prabhu, S.~C. and Kumar, L. and Malhotra, P. and Jiao, J. and Singh, A. and Agarwal, S. and Chakrabarti, S. and Kar, P. and Varma, M.},
     title = {Graph Regularized Encoder Training for Extreme Classification},
     year = {2025},
     isbn = {9798400713316},
     publisher = {Association for Computing Machinery},
     url = {https://doi.org/10.1145/3701716.3715230},
     doi = {10.1145/3701716.3715230},
     booktitle = {Companion Proceedings of the ACM on Web Conference},
     pages = {394–402},
     numpages = {9},
     location = {Sydney NSW, Australia},
     series = {WWW '25},
   }

2. ICML 25

   MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification

   S. C. Prabhu , B. Singh , A. Mittal , and 11 more authors

   In Proceedings of the 42nd International Conference on Machine Learning , 2025

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   @inproceedings{MOGIC25,
     author = {Prabhu, S.~C. and Singh, B. and Mittal, A. and Asokan, S. and Mohan, S. and Saini, D. and Prabhu, Y. and Kumar, L. and Jiao, J. and Singh, A. and Tandon, N. and Gupta, M. and Agarwal, S. and Varma, M.},
     title = {{MOGIC:} Metadata-infused Oracle Guidance for Improved Extreme Classification},
     year = {2025},
     booktitle = {Proceedings of the 42nd International Conference on Machine
     Learning},
     location = {Vancouver, Canada},
   }

2024

1. KDD 24

   Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval

   S. Yadav , D. Saini , A. Buvanesh , and 6 more authors

   Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

   Bib HTML PDF Supp Code Website

   @article{EMMETT24,
     author = {Yadav, S. and Saini, D. and Buvanesh, A. and Paliwal, B. and Dahiya, K. and Asokan, S. and Prabhu, Y. and Jiao, J. and Varma, M.},
     journal = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
     title = {Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval},
     year = {2024},
   }

2. arXiv

   CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks

   B. Paliwal , D. Saini , M. Dhawan , and 6 more authors

   arXiv preprints, arXiv:2409.09795, 2024

   Bib HTML PDF

   @article{CrossJEM24,
     title = {{CROSS-JEM}: {A}ccurate and Efficient Cross-encoders for Short-text Ranking Tasks},
     author = {Paliwal, B. and Saini, D. and Dhawan, M. and Asokan, S. and Natarajan, N. and Aggarwal, S. and Malhotra, P. and Jiao, J. and Varma, M.},
     year = {2024},
     eprint = {2409.09795},
     journal = {arXiv preprints, arXiv:2409.09795},
     publisher = {arXiv},
   }

2023

1. CVPR 23

   Spider GANs: Leveraging friendly neighbors to accelerate GAN training

   S. Asokan , and C. S. Seelamantula

   The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

   arXiv Bib HTML PDF Website

   @article{SpiderGAN23,
     author = {Asokan, S. and Seelamantula, C. S.},
     journal = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
     title = {Spider {GANs}: {L}everaging friendly neighbors to accelerate {GAN} training},
     year = {2023},
   }

2. JMLR

   Euler-Lagrange Analysis of Generative Adversarial Networks

   S. Asokan , and C. S. Seelamantula

   Journal of Machine Learning Research (JMLR), 2023

   Bib HTML PDF

   @article{ELeGANt23,
     author = {Asokan, S. and Seelamantula, C. S.},
     journal = {Journal of Machine Learning Research (JMLR)},
     pages = {1--100},
     title = {Euler-Lagrange Analysis of Generative Adversarial Networks},
     year = {2023},
   }

3. arXiv

   GANs Settle Scores!

   S. Asokan , N. Shetty , A. Srikanth , and 1 more author

   arXiv preprints, arXiv:2306.01654, 2023

   Bib HTML PDF

   @article{ScoreFloWGANs23,
     title = {{GANs} Settle Scores!},
     author = {Asokan, S. and Shetty, N. and Srikanth, A. and Seelamantula, C. S.},
     year = {2023},
     eprint = {2306.01654},
     journal = {arXiv preprints, arXiv:2306.01654},
     publisher = {arXiv},
   }

4. arXiv

   Data Interpolants – That’s What Discriminators in Higher-order Gradient-regularized GANs Are

   S. Asokan , and C. S. Seelamantula

   arXiv preprints, arXiv:2306.00785, 2023

   Bib HTML PDF

   @article{PolyGAN23,
     title = {Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized {GANs} Are},
     author = {Asokan, S. and Seelamantula, C. S.},
     year = {2023},
     eprint = {2306.00785},
     journal = {arXiv preprints, arXiv:2306.00785},
     publisher = {arXiv},
   }

5. PhD Thesis

   On the Optimality of Generative Adversarial Networks — A Variational Perspective

   S. Asokan

   In partial fulfillment of the requirements for the Degree of Doctor of Philosophy, IISc , 2023

   HTML PDF

2020

1. NeurIPS 20

   Teaching a GAN What Not to Learn

   S. Asokan , and C. S. Seelamantula

   In Advances in Neural Information Processing Systems (NeurIPS) , 2020

   Bib HTML PDF

   @inproceedings{RumiGAN20,
     author = {Asokan, S. and Seelamantula, C.~S.},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS) },
     pages = {3964--3975},
     title = {Teaching a {GAN} What Not to Learn},
     url = {https://proceedings.neurips.cc/paper/2020/file/29405e2a4c22866a205f557559c7fa4b-Paper.pdf},
     volume = {33},
     year = {2020},
   }