| DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network S Mache, PK Pokala, K Rajendran, CS Seelamantula http://arxiv.org/abs/2104.04704, 2021 | 8 | 2021 |
| NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion S Mache, PK Pokala, K Rajendran, CS Seelamantula https://arxiv.org/abs/2105.00003, 2021 | 5 | 2021 |
| Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion S Mache, PK Pokala, K Rajendran, CS Seelamantula IEEE Transactions on Computational Imaging 9, 475-489, 2023 | 4 | 2023 |
| Temporally variable recurrence regimes of mega-tsunamis in the 6500 years prior to the 2004 Indian Ocean event J Sanwal, CP Rajendran, M Heidarzadeh, S Mache, K Anandasabari, ... Marine Geology 460, 107051, 2023 | 1 | 2023 |
| An ensemble of proximal networks for sparse coding KKR Nareddy, S Mache, PK Pokala, CS Seelamantula 2022 IEEE International Conference on Image Processing (ICIP), 1251-1255, 2022 | 1 | 2022 |
| Domain decomposition of the modified Born series approach for large-scale wave propagation simulations S Mache, IM Vellekoop arXiv preprint arXiv:2410.02395, 2024 | | 2024 |
| Hilbert–Huang Transform and Energy Rate Functions for Earthquake Source Characterization—A Study from the Japan Trench S Mache, A Chatterjee, K Rajendran, CS Seelamantula Bulletin of the Seismological Society of America, 2022 | | 2022 |
| Explainable Deep Neural Networks for Seismic Reflectivity Inversion S Mache, PK Pokala, K Rajendran, CS Seelamantula AGU Fall Meeting 2021 2021, S15F-0312, 2021 | | 2021 |
| Energy Rate Functions: An Overview of HHT-based Earthquake Source Characterization using Strong Motion Data S Mache, N Chauhan, A Chatterjee, K Rajendran AGU 2020 Fall Meeting 2020, S067-03, 2020 | | 2020 |
| Energy release patterns and shaking effects of earthquakes in the Japan Trench: A Hilbert-Huang Transform approach S Mache, K Rajendran JpGU-AGU Joint Meeting 2020 2020, SSS05-P02, 2020 | | 2020 |
| An Alternate Method for Earthquake Source Characterization through Empirical Mode Decomposition and Spectral Analysis of Strong-Motion Records S Mache, A Chatterjee, K Rajendran AGUFM 2019, S31C-0530, 2019 | | 2019 |
| Insights on the source characteristics of Japanese earthquakes from source models developed from teleseismic and strong-motion records A Chatterjee, S Mache, K Rajendran AGUFM 2019, S53G-0561, 2019 | | 2019 |
Kusala RajendranProfessor, Centre for Earth Sciences (retired)Email verificata su iisc.ac.in