Chandra Sekhar Seelamantula
Indian Institute of Science
H-index: 28
Asia-India
Top articles of Chandra Sekhar Seelamantula
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Neuromorphic Sensing Meets Unlimited Sampling | Abijith Jagannath Kamath Chandra Sekhar Seelamantula | 2024/4/14 | |
Variational Analysis of Adversarial Regularization for Solving Inverse Problems | Abhishek Shreekant Bhandiwad Abijith Jagannath Kamath Siddarth Asokan Chandra Sekhar Seelamantula | 2024/4/14 | |
Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors | Kartheek Kumar Reddy Nareddy Abijith Jagannath Kamath Chandra Sekhar Seelamantula | 2024/4/14 | |
Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling | Nishanth Shetty Manikanta Bandla Nishit Neema Siddarth Asokan Chandra Sekhar Seelamantula | 2024/4/14 | |
Quantized Generative Models for Solving Inverse Problems | Nareddy Kartheek Kumar Reddy Vinayak Killedar Chandra Sekhar Seelamantula | 2023 | |
GANs Settle Scores! | arXiv preprint arXiv:2306.01654 | Siddarth Asokan Nishanth Shetty Aadithya Srikanth Chandra Sekhar Seelamantula | 2023/6/2 |
Deep-learning-based visualization and volumetric analysis of fluid regions in optical coherence tomography scans | Diagnostics | Harishwar Reddy Kasireddy Udaykanth Reddy Kallam Sowmitri Karthikeya Siddhartha Mantrala Hemanth Kongara Anshul Shivhare | 2023/8/12 |
Quantized proximal averaging networks for compressed image recovery | Nareddy Kartheek Kumar Reddy Mani Madhoolika Bulusu Praveen Kumar Pokala Chandra Sekhar Seelamantula | 2023 | |
Data Interpolants--That's What Discriminators in Higher-order Gradient-regularized GANs Are | arXiv preprint arXiv:2306.00785 | Siddarth Asokan Chandra Sekhar Seelamantula | 2023/6/1 |
Tight-frame-like Sparse Recovery Using Non-tight Sensing Matrices | arXiv preprint arXiv:2307.10862 | Kartheek Kumar Reddy Nareddy Abijith Jagannath Kamath Chandra Sekhar Seelamantula | 2023/7/20 |
Euler-Lagrange analysis of generative adversarial networks | Journal of Machine Learning Research | Siddarth Asokan Chandra Sekhar Seelamantula | 2023 |
Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion | IEEE Transactions on Computational Imaging | Swapnil Mache Praveen Kumar Pokala Kusala Rajendran Chandra Sekhar Seelamantula | 2023/5/26 |
Neuromorphic Sampling of Signals in Shift-Invariant Spaces | arXiv preprint arXiv:2306.05103 | Abijith Jagannath Kamath Chandra Sekhar Seelamantula | 2023/6/8 |
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training | Siddarth Asokan Chandra Sekhar Seelamantula | 2023 | |
Achieving nanoscale precision using neuromorphic localization microscopy | Nature Nanotechnology | Rohit Mangalwedhekar Nivedita Singh Chetan Singh Thakur Chandra Sekhar Seelamantula Mini Jose | 2023/4 |
Multichannel time-encoding of finite-rate-of-innovation signals | Abijith Jagannath Kamath Chandra Sekhar Seelamantula | 2023/6/4 | |
ELeGANt: An Euler-Lagrange Analysis of Wasserstein Generative Adversarial Networks | Siddarth Asokan Chandra Sekhar Seelamantula | 2023/10/31 | |
Author Correction: Chákṣu: A glaucoma specific fundus image database | Scientific Data | JR Harish Kumar Chandra Sekhar Seelamantula JH Gagan Yogish S Kamath Neetha IR Kuzhuppilly | 2023 |
Chákṣu: A glaucoma specific fundus image database | Scientific data | JR Harish Kumar Chandra Sekhar Seelamantula JH Gagan Yogish S Kamath Neetha IR Kuzhuppilly | 2023/2/3 |
A Game of Snakes and Gans | Siddarth Asokan Fatwir Sheikh Mohammed Chandra Sekhar Seelamantula | 2023/6/4 |
Co-Authors
