H. Karimi

发表

Ju n 20 18 Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Lojasiewicz Condition

Mark W. Schmidt, H. Karimi, J. Nutini, 2018 .

Linear Convergence of Proximal-Gradient Methods under the Polyak-Łojasiewicz Condition

Mark W. Schmidt, H. Karimi, 2015 .

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

Mark W. Schmidt, Hamed Karimi, Julie Nutini, 2016, ECML/PKDD.

Structure factors of s=1/2 spin chains and magnetism at the edges of graphene ribbons

H. Karimi, 2014 .

Boosting quantum annealer performance via sample persistence

H. Karimi, G. Rosenberg, 2017, Quantum Information Processing.

Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods

Helmut G. Katzgraber, Gili Rosenberg, Hamed Karimi, 2017, Physical review. E.

Boosting quantum annealer performance via sample persistence

Gili Rosenberg, Hamed Karimi, H. Karimi, 2016, Quantum Inf. Process..

Boosting quantum annealer performance via sample persistence pdf

Gili Rosenberg, Hamed Karimi, H. Karimi, 2016, Quantum Information Processing.

Rod separation by sawtooth channel.

H. Karimi, M. Setare, A. Moradian, 2020, Physical review. E.

Quantifying Deep Learning Model Uncertainty in Conformal Prediction

H. Karimi, Reza Samavi, 2023, ArXiv.

Couplings between 11-dimensional supergravity fields and the ABJM multiple m2-brane theory

H. Karimi, 2009 .