Biography

Publications

2024

  1. ICASSP 24
    Variational Analysis of Adversarial Regularization for Solving Inverse Problems
    A. S. Bhandiwad, A. J. Kamath, S. Asokan, and C. S. Seelamantula
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  2. ICASSP 24
    Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling
    N. Shetty, M. Bandla, N. Neema, S. Asokan, and C. S. Seelamantula
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

2023

  1. JMLR 23
    Euler-Lagrange analysis of generative adversarial networks
    S. Asokan, and C. S. Seelamantula
    Journal of Machine Learning Research, 2023
  2. arXiv 23
    Data Interpolants–That’s What Discriminators in Higher-order Gradient-regularized GANs Are
    S. Asokan, and C. S. Seelamantula
    arXiv preprint arXiv:2306.00785, 2023
  3. CVPR 23
    Spider GAN: Leveraging friendly neighbors to accelerate GAN training
    S. Asokan, and C. S. Seelamantula
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  4. arXiv 23
    Gans settle scores!
    S. Asokan, N. Shetty, A. Srikanth, and C. S. Seelamantula
    arXiv preprint arXiv:2306.01654, 2023
  5. ICASSP 23
    A Game of Snakes and Gans
    S. Asokan , F. S. Mohammed, and C. S. Seelamantula
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

2022

  1. NeurIPS-W 22
    LSGANs with gradient regularizers are smooth high-dimensional interpolators
    S. Asokan, and C. S. Seelamantula
    In First Workshop on Interpolation Regularizers and Beyond at NeurIPS, 2022
  2. DLDE-II 22
    Bridging the gap between Coulomb GAN and gradient-regularized WGAN
    S. Asokan, and C. S. Seelamantula
    In The Symbiosis of Deep Learning and Differential Equations II, 2022

2020

  1. NeurIPS 20
    Teaching a gan what not to learn
    S. Asokan, and C. Seelamantula
    Advances in Neural Information Processing Systems, 2020