| 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 | 39 | 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 |
| 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 |
| 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 | 6 | 2022 |
| Low-rank matrix completion in a general non-orthogonal basis A Tasissa, R Lai Linear Algebra and its Applications 625, 81-112, 2021 | 6 | 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 | 6 | 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 | 6 | 2021 |
| 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 | 5 | 2021 |
| K-deep simplex: Deep manifold learning via local dictionaries P Tankala, A Tasissa, JM Murphy, D Ba arXiv preprint arXiv:2012.02134, 2020 | 5 | 2020 |
| Geometric sparse coding in Wasserstein space M Mueller, S Aeron, JM Murphy, A Tasissa arXiv preprint arXiv:2210.12135, 2022 | 4 | 2022 |
| A dual basis approach to multidimensional scaling S Lichtenberg, A Tasissa Linear Algebra and its Applications 682, 86-95, 2024 | 3 | 2024 |
| 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 |
| 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 | 2 | 2022 |
| 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 |
| Dense and sparse coding: Theory and architectures A Tasissa, E Theodosis, B Tolooshams, D Ba arXiv preprint arXiv:2006.09534, 2020 | 2 | 2020 |
| A dual basis approach to multidimensional scaling: spectral analysis and graph regularity S Lichtenberg, A Tasissa arXiv preprint arXiv:2303.05682, 2023 | 1 | 2023 |
| Manifold learning and deep clustering with local dictionaries P Tankala, A Tasissa, JM Murphy, D Ba arXiv preprint arXiv:2012.02134, 2020 | 1 | 2020 |
| Riemannian Optimization for Euclidean Distance Geometry CM Smith, SP Lichtenberg, HQ Cai, A Tasissa OPT 2023: Optimization for Machine Learning, 2023 | | 2023 |
| Clustering Inductive Biases with Unrolled Networks J Huml, A Tasissa, D Ba arXiv preprint arXiv:2402.10213, 2023 | | 2023 |
Rongjie LaiProfessor of Mathematics, Purdue UniversityE-mailová adresa ověřena na: purdue.edu
