Publications

Ph.D. Thesis

2023

1. 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

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Conference and Journal Publications

2024

1. ICASSP 24

   Momentum-imbued Langevin Dynamics (MILD) for Faster Sampling

   N. Shetty ,  M. Bandla ,  N. Neema , and 2 more authors

   In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024

   Bib

   @inproceedings{MILD24,
     author = {N.~Shetty and M.~Bandla and N.~Neema and Asokan, S. and Seelamantula, C.~S.},
     booktitle = {ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Momentum-imbued Langevin Dynamics (MILD) for Faster Sampling},
     pages = {6635-6639},
     year = {2024},
     doi = {10.1109/ICASSP48485.2024.10446376}
   }

2. ICASSP 24

   Variational Analysis of Adversarial Regularization for Solving Inverse Problems

   A. S. Bhandiwad ,  A. J. Kamath , S. Asokan , and 1 more author

   In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024

   Bib

   @inproceedings{ARELA24,
     author = {A.~S.~Bhandiwad and A.~J.~Kamath and Asokan, S. and Seelamantula, C.~S.},
     booktitle = {ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Variational Analysis of Adversarial Regularization for Solving Inverse Problems},
     pages = {2525-2529},
     doi = {10.1109/ICASSP48485.2024.10446385},
     year = {2024}
   }

3. 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 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}
   }

2023

1. ICASSP 23

   A game of snakes and GANs

   S. Asokan , F. S. Mohammed , and C. S. Seelamantula

   The Proceedings on the IEEE International Conference of Acoustics, Speech and Signal Processing (ICASSP), 2023

   Bib HTML

   @article{SnakeGAN23,
     author = {Asokan, S. and Mohammed, F. S. and Seelamantula, C. S.},
     journal = {The Proceedings on the IEEE International Conference of Acoustics, Speech and Signal Processing (ICASSP)},
     title = {A game of snakes and {GAN}s},
     year = {2023}
   }

2. 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},
   }

3. 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},
   }

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},
   }

Workshop Publications and Prepints

2024

1. CVPRW 24

   FoLD: Efficient Fourier-series-based Score Estimation for Langevin Diffusion

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

   First Workshop on Efficient and On-Device Generation (EDGE) at CVPR 2024, 2024

   Bib PDF

   @article{FOLD23,
     author = {Asokan, S. and Srikanth, A. and Shetty, N. and Seelamantula, C.~S.},
     journal = {First Workshop on Efficient and On-Device Generation (EDGE) at CVPR 2024},
     title = {{FoLD:} {E}fficient {F}ourier-series-based Score Estimation for {L}angevin Diffusion},
     year = {2024}
   }

2023

1. 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},
   }

2. 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},
   }

3. NeurIPSW 23

   f-GANs Settle Scores!

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

   In NeurIPS 2023 Workshop on Diffusion Models , 2023

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4. NeurIPSW 23

   ELeGANt: An Euler-Lagrange Analysis of Wasserstein Generative Adversarial Networks

   S. Asokan , and C. S. Seelamantula

   In The Symbiosis of Deep Learning and Differential Equations III , 2023

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2022

1. NeurIPSW 22

   Bridging the Gap Between Coulomb GAN and Gradient-regularized WGAN

   S. Asokan , and C. S. Seelamantula

   In Proceedings on "The Symbiosis of Deep Learning and Differential Equations - II" at NeurIPS Workshops , 2022

   Bib HTML PDF

   @inproceedings{RBFCoulombGAN22,
     title = {Bridging the Gap Between {C}oulomb {GAN} and Gradient-regularized {WGAN}},
     author = {Asokan, S. and Seelamantula, C.~S.},
     booktitle = {Proceedings on "The Symbiosis of Deep Learning and Differential Equations - II" at NeurIPS Workshops},
     year = {2022},
   }

2. NeurIPSW 22

   LSGANs with gradient regularizers are smooth high-dimensional interpolators

   S. Asokan , and C. S. Seelamantula

   In Proceedings on "INTERPOLATE: First Workshop on Interpolation and Beyond" at NeurIPS Workshops , 2022

   Bib HTML PDF

   @inproceedings{PolyLSGAN22,
     title = {{LSGANs} with gradient regularizers are smooth high-dimensional interpolators},
     author = {Asokan, S. and Seelamantula, C.~S.},
     booktitle = {Proceedings on "INTERPOLATE: First Workshop on Interpolation and Beyond" at NeurIPS Workshops},
     year = {2022},
   }

Bachelor's Thesis

2017

1. B.E. Thesis

   Smart Parking and Surveillance

   A. Jaiprakash , K. R. Motwani , N. Chhabria , and 1 more author

   In partial fulfillment for the award of degree of Bachelor of Engineering in Electronics and Communication Engineering, MSRIT , 2017

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