@inproceedings{bhandiwad2024variational,author={Bhandiwad, A. S. and Kamath, A. J. and Asokan, S. and Seelamantula, C. S.},title={Variational Analysis of Adversarial Regularization for Solving Inverse Problems},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GFxP56DSvIMC},}
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
@inproceedings{shetty2024momentum,author={Shetty, N. and Bandla, M. and Neema, N. and Asokan, S. and Seelamantula, C. S.},title={Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZzlSgRqYykMC},}
2023
JMLR 23
Euler-Lagrange analysis of generative adversarial networks
@article{asokan2023euler,author={Asokan, S. and Seelamantula, C. S.},title={Euler-Lagrange analysis of generative adversarial networks},journal={Journal of Machine Learning Research},year={2023},volume={24},number={126},pages={1--100},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yMeIxYmEMEAC},}
arXiv 23
Data Interpolants–That’s What Discriminators in Higher-order Gradient-regularized GANs Are
@article{asokan2023data,author={Asokan, S. and Seelamantula, C. S.},title={Data Interpolants--That's What Discriminators in Higher-order Gradient-regularized GANs Are},journal={arXiv preprint arXiv:2306.00785},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:r_AWSJRzSzQC},}
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
@inproceedings{asokan2023spider,author={Asokan, S. and Seelamantula, C. S.},title={Spider GAN: Leveraging friendly neighbors to accelerate GAN training},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:fFSKOagxvKUC},}
arXiv 23
Gans settle scores!
S. Asokan, N. Shetty, A. Srikanth, and C. S. Seelamantula
@article{asokan2023gans,author={Asokan, S. and Shetty, N. and Srikanth, A. and Seelamantula, C. S.},title={Gans settle scores!},journal={arXiv preprint arXiv:2306.01654},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LhH-TYMQEocC},}
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
@inproceedings{asokan2023game,author={Asokan, S. and Mohammed, F. S. and Seelamantula, C. S.},title={A Game of Snakes and Gans},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:OR75R8vi5nAC},}
2022
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
@inproceedings{asokan2022lsgans,author={Asokan, S. and Seelamantula, C. S.},title={LSGANs with gradient regularizers are smooth high-dimensional interpolators},booktitle={First Workshop on Interpolation Regularizers and Beyond at NeurIPS},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:mNrWkgRL2YcC},}
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
@inproceedings{asokan2022bridging,author={Asokan, S. and Seelamantula, C. S.},title={Bridging the gap between Coulomb GAN and gradient-regularized WGAN},booktitle={The Symbiosis of Deep Learning and Differential Equations II},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:cWzG1nlazyYC},}
2020
NeurIPS 20
Teaching a gan what not to learn
S. Asokan, and C. Seelamantula
Advances in Neural Information Processing Systems, 2020
@article{asokan2020teaching,author={Asokan, S. and Seelamantula, C.},title={Teaching a gan what not to learn},journal={Advances in Neural Information Processing Systems},year={2020},volume={33},pages={3964--3975},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LO7wyVUgiFcC},}