Spectral conditions for the reachability of discrete-time conewise linear systems. - M. Devrim Kaba; M. Kanat Camlibel (CDC, 2014)

Invertible nonlinear cluster unwrapping. - Matineh Shaker; Jonas Nordhaug Myhre; M. Devrim Kaba; Deniz Erdogmus (MLSP, 2014)

Manifold unwrapping using critical surfaces. - Matineh Shaker; M. Devrim Kaba; Deniz Erdogmus (MLSP, 2015)

A Spectral Characterization of Controllability for Linear Discrete-Time Systems with Conic Constraints. - M. Devrim Kaba; M. Kanat Camlibel (SIAM J. Control. Optim., 2015)

A Reinforcement Learning Approach to Sensor Planning for 3D Models. - Mustafa Devrim Kaba; Mustafa Gökhan Uzunbas; Ser-Nam Lim (CoRR, 2016)

A Reinforcement Learning Approach to the View Planning Problem. - Mustafa Devrim Kaba; Mustafa Gökhan Uzunbas; Ser-Nam Lim (CVPR, 2017)

Sparse Recovery over Graph Incidence Matrices. - Mengnan Zhao; M. Devrim Kaba; René Vidal; Daniel P. Robinson; Enrique Mallada (CDC, 2018)

Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance. - Mengnan Zhao; M. Devrim Kaba; René Vidal; Daniel P. Robinson; Enrique Mallada (CoRR, 2018)

Generalized Nullspace Property for Structurally Sparse Signals. - Mustafa Devrim Kaba; Mengnan Zhao; René Vidal; Daniel P. Robinson; Enrique Mallada (CoRR, 2019)

A generic unfolding algorithm for manifolds estimated by local linear approximations. - Jonas Nordhaug Myhre; Matineh Shaker; Mustafa Devrim Kaba; Robert Jenssen; Deniz Erdogmus (CVPR Workshops, 2020)

A Nullspace Property for Subspace-Preserving Recovery. - Mustafa Devrim Kaba; Chong You; Daniel P. Robinson; Enrique Mallada; René Vidal (ICML, 2021)

What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? - Mustafa Devrim Kaba; Mengnan Zhao; René Vidal; Daniel P. Robinson; Enrique Mallada (IEEE Trans. Inf. Theory, 2021)