PUBLICATIONS

Journal Articles

  1. A. Marmin, M. Castella, J.-C. Pesquet, and L. Duval. Sparse signal reconstruction for nonlinear models via piecewise rational optimization. Signal Processing, 179:107835, February 2021 [Article]
  2. A. Marmin, A. Jezierska, M. Castella, and J.-C. Pesquet. Global optimization for recovery of clipped signals corrupted with Poisson-Gaussian noise. IEEE Signal Processing Letters, 27:970-974, May 2020 [Article]
  3. M. Castella, J.-C. Pesquet, and A. Marmin. Rational optimization for nonlinear reconstruction with approximate ℓ0 penalization. IEEE Transactions on Signal Processing, 67(6):1407-1417, March 2019 [Article]

Conferences

  1. E. Leroy, A. Marmin, M. Castella, and L. Duval. Weight identification through global optimization in a new hysteretic neural network model. In Proceedings International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5315-5319. IEEE, June 2021 [Article]
  2. A. Marmin, M. Castella, and J.-C. Pesquet. Globally optimizing owing to tensor decomposition. In Proceedings European Signal Processing Conference (EUSIPCO), pages 990-994. IEEE, January 2021 [Article]
  3. A. Marmin, M. Castella, and J.-C. Pesquet. Robust reconstruction with nonconvex subset constraints: a polynomial optimization approach. In Proceedings IEEE International Workshop on Machine Learning for Signal Processing, IEEE, September 2020 [Article]
  4. A. Marmin, M. Castella, and J.-C. Pesquet. A moment-based approach for guaranteed tensor decomposition. In Proceedings International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 3927-3931. IEEE, May 2020 [Article]
  5. A. Marmin, M. Castella, and J.-C. Pesquet. Detecting the rank of a symmetric tensor. In Proceedings European Signal Processing Conference (EUSIPCO), pages 1-5. IEEE, September 2019 [Article]
  6. A. Marmin, M. Castella, and J.-C. Pesquet. Sparse signal reconstruction with a sign oracle. In Proceedings Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, July 2019 [Article]
  7. A. Marmin, M. Castella, and J.-C. Pesquet. How to globally solve non-convex optimization problems involving an approximate ℓ0 penalization. In Proceedings International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5601-5605. IEEE, May 2019 [Article]
  8. A. Marmin, M. Castella, J.-C. Pesquet, and L. Duval. Signal reconstruction from sub-sampled and nonlinearly distorted observations. In Proceedings European Signal Processing Conference (EUSIPCO) , pages 1970-1974. IEEE, September 2018 [Article]
  9. A. Marmin, C.H. Lai, T. Haruyuki, H.L. Huang, J.M. Lu. Architecture Agnostic Energy Model for GPU-based Design. In Proceedings of the International Symposium on VLSI Design, Automation and Test (VLSI-DAT), Hsinchu, Taiwan, April 2016 [Article]

PhD Thesis

Arthur Marmin. Rational models optimized exactly for solving signal processing problems. Signal and Image processing. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASG017⟩. ⟨tel-03099312⟩ [Manuscript]