Abbas Kazemipour

13 papers Misc 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	No Spurious Local Minima in Deep Quadratic Networks. CoRR Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann
2018	J	`jnl`	Fast and Stable Signal Deconvolution via Compressible State-Space Models. IEEE Trans. Biomed. Eng. Abbas Kazemipour, Ji Liu, Krystyna Solarana, Daniel A. Nagode, Patrick O. Kanold, Min Wu, Behtash Babadi
2018	—	`conf`	Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis. GlobalSIP Abbas Kazemipour, Shaul Druckmann
2017	—	`—`	Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications. Abbas Kazemipour
2017	Misc	`conf`	Multiplicative updates for optimization problems with dynamics. ACSSC Abbas Kazemipour, Behtash Babadi, Min Wu, Kaspar Podgorski, Shaul Druckmann
2017	J	`jnl`	Robust Estimation of Self-Exciting Generalized Linear Models With Application to Neuronal Modeling. IEEE Trans. Signal Process. Abbas Kazemipour, Min Wu, Behtash Babadi
2017	J	`jnl`	Sampling Requirements for Stable Autoregressive Estimation. IEEE Trans. Signal Process. Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu
2016	J	`jnl`	Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution. CoRR Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi
2016	—	`conf`	Efficient estimation of compressible state-space models with application to calcium signal deconvolution. GlobalSIP Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi
2016	J	`jnl`	Sampling Requirements for Stable Autoregressive Estimation. CoRR Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu
2016	Misc	`conf`	Sufficient conditions for stable recovery of sparse autoregressive models. CISS Abbas Kazemipour, Behtash Babadi, Min Wu
2015	J	`jnl`	Robust Estimation of Self-Exciting Point Process Models with Application to Neuronal Modeling. CoRR Abbas Kazemipour, Min Wu, Behtash Babadi
2014	—	`conf`	Sparse estimation of self-exciting point processes with application to LGN neural modeling. GlobalSIP Abbas Kazemipour, Behtash Babadi, Min Wu