| Exact reconstruction of euclidean distance geometry problem using low-rank matrix completion A Tasissa, R Lai IEEE Transactions on Information Theory 65 (5), 3124-3144, 2018 | 40 | 2018 |
| On the formation of Friedlander waves in a compressed-gas-driven shock tube AF Tasissa, M Hautefeuille, JH Fitek, RA Radovitzky Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2016 | 31 | 2016 |
| Measure estimation in the barycentric coding model M Werenski, R Jiang, A Tasissa, S Aeron, JM Murphy International Conference on Machine Learning, 23781-23803, 2022 | 12 | 2022 |
| SHAPER: can you hear the shape of a jet? D Ba, AS Dogra, R Gambhir, A Tasissa, J Thaler Journal of High Energy Physics 2023 (6), 1-58, 2023 | 8 | 2023 |
| Low-rank matrix completion in a general non-orthogonal basis A Tasissa, R Lai Linear Algebra and its Applications 625, 81-112, 2021 | 7 | 2021 |
| Deep diffusion processes for active learning of hyperspectral images A Tasissa, D Nguyen, JM Murphy 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3665 …, 2021 | 7 | 2021 |
| R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations AA Abbasi, A Tasissa, S Aeron IEEE Open Journal of Signal Processing 2, 309-317, 2021 | 7 | 2021 |
| Geometric sparse coding in Wasserstein space M Mueller, S Aeron, JM Murphy, A Tasissa arXiv preprint arXiv:2210.12135, 2022 | 6 | 2022 |
| Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality A Tasissa, P Tankala, D Ba 2021 IEEE Statistical Signal Processing Workshop (SSP), 476-480, 2021 | 6 | 2021 |
| K-deep simplex: Deep manifold learning via local dictionaries P Tankala, A Tasissa, JM Murphy, D Ba arXiv preprint arXiv:2012.02134, 2020 | 6 | 2020 |
| Geometrically Regularized Wasserstein Dictionary Learning M Mueller, S Aeron, JM Murphy, A Tasissa Topological, Algebraic and Geometric Learning Workshops 2023, 384-403, 2023 | 5 | 2023 |
| K-Deep Simplex: Manifold Learning via Local Dictionaries A Tasissa, P Tankala, JM Murphy, D Ba IEEE Transactions on Signal Processing, 2023 | 4 | 2023 |
| A dual basis approach to multidimensional scaling S Lichtenberg, A Tasissa Linear Algebra and its Applications 682, 86-95, 2024 | 3 | 2024 |
| r-local unlabeled sensing: Improved algorithm and applications AA Abbasi, A Tasissa, S Aeron ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Towards improving discriminative reconstruction via simultaneous dense and sparse coding A Tasissa, E Theodosis, B Tolooshams, D Ba arXiv preprint arXiv:2006.09534, 2020 | 3 | 2020 |
| Function approximation and the remez algorithm A TASISSA Accessed: Sep, 2019 | 3 | 2019 |
| A dual basis approach to multidimensional scaling: spectral analysis and graph regularity S Lichtenberg, A Tasissa arXiv preprint arXiv:2303.05682, 2023 | 2 | 2023 |
| On the convergence of group-sparse autoencoders E Theodosis, B Tolooshams, P Tankala, A Tasissa, D Ba arXiv preprint arXiv:2102.07003, 2021 | 2 | 2021 |
| Unlabeled sensing with local permutations A Abbasi, A Tasissa, S Aeron arXiv preprint arXiv:1911.06382, 2020 | 2 | 2020 |
| Dense and sparse coding: Theory and architectures A Tasissa, E Theodosis, B Tolooshams, D Ba arXiv preprint arXiv:2006.09534, 2020 | 2 | 2020 |
Rongjie LaiProfessor of Mathematics, Purdue UniversityVerified email at purdue.edu
