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ORCIDMohammad-Amin Charusaie
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2020 – today
- 2024
[i5]Mohammad-Amin Charusaie, Stefano Rini, Arash Amini:
ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity. CoRR abs/2406.06349 (2024)- [i4]Mohammad-Amin Charusaie, Samira Samadi:
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems. CoRR abs/2407.12710 (2024) - 2022
- [j1]Mohammad-Amin Charusaie
, Arash Amini, Stefano Rini:
Compressibility Measures for Affinely Singular Random Vectors. IEEE Trans. Inf. Theory 68(9): 6245-6275 (2022) - [c3]Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi:
Sample Efficient Learning of Predictors that Complement Humans. ICML 2022: 2972-3005 - [c2]Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park:
Hermite Polynomial Features for Private Data Generation. ICML 2022: 22300-22324 - [i3]Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi:
Sample Efficient Learning of Predictors that Complement Humans. CoRR abs/2207.09584 (2022) - 2021
- [i2]Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder:
Polynomial magic! Hermite polynomials for private data generation. CoRR abs/2106.05042 (2021) - 2020
- [c1]Mohammad-Amin Charusaie, Stefano Rini, Arash Amini:
On the Compressibility of Affinely Singular Random Vectors. ISIT 2020: 2240-2245 - [i1]Mohammad-Amin Charusaie, Stefano Rini, Arash Amini:
On the Compressibility of Affinely Singular Random Vectors. CoRR abs/2001.03884 (2020)
Coauthor Index
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