Abbas Kazemipour

13 papers Misc 2Journal 7Unranked 3
YearRankTypeTitle / 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