Marc Teboulle is a researcher affiliated with Tel Aviv University in Israel, focusing on several areas within computer science, mathematics, and engineering. Their work concentrates on fields such as computational mechanics, computational theory and mathematics, numerical analysis, artificial intelligence, and mathematical physics.
Their main research topics include sparse and compressive sensing techniques, advanced optimization algorithms research, optimization and variational analysis, stochastic gradient optimization techniques, matrix theory and algorithms, numerical methods in inverse problems, and ultrasound imaging and elastography.
Teboulle has published extensively in multiple research venues. Frequent publication venues include:
Their recent papers highlight diverse contributions over the past few years. Notable publications include:
Marc Teboulle has collaborated frequently with several co-authors, including:
The researcher's contributions have been recognized with awards such as the SIAM Fellow designation awarded in 2017, citing their work in continuous optimization theory, algorithm development, and scientific applications.
Amir Beck;Marc Teboulle
A. Beck;M. Teboulle
Jérôme Bolte;Shoham Sabach;Marc Teboulle
Amir Beck;Marc Teboulle
Gong Chen;Marc Teboulle
Alfred Auslender;Marc Teboulle
Gong Chen;Marc Teboulle
Aharon Ben-Tal;Marc Teboulle
Amir Beck;Marc Teboulle
Heinz H. Bauschke;Jérôme Bolte;Marc Teboulle
Alfred Auslender;Marc Teboulle
Marc Teboulle
Amir Beck;Marc Teboulle
Amir Beck;Marc Teboulle
Yoel Drori;Marc Teboulle
Alfredo N. Iusem;B. F. Svaiter;Marc Teboulle
Aharon Ben-Tal;Marc Teboulle
Marc Teboulle
Alfred Auslender;Marc Teboulle;Sami Ben-Tiba
Amir Beck;Angelia Nedic;Asuman Ozdaglar;Marc Teboulle
Jacob Kogan;Charles Nicholas;Marc Teboulle
Jacob Kogan;Charles Nicholas;Marc Teboulle
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