Sparse estimation of self-exciting point processes with application to LGN neural modeling. - Abbas Kazemipour; Behtash Babadi; Min Wu 001 (GlobalSIP, 2014)

Robust Estimation of Self-Exciting Point Process Models with Application to Neuronal Modeling. - Abbas Kazemipour; Min Wu 001; Behtash Babadi (CoRR, 2015)

Sufficient conditions for stable recovery of sparse autoregressive models. - Abbas Kazemipour; Behtash Babadi; Min Wu 001 (CISS, 2016)

Efficient estimation of compressible state-space models with application to calcium signal deconvolution. - Abbas Kazemipour; Ji Liu; Patrick O. Kanold; Min Wu 001; Behtash Babadi (GlobalSIP, 2016)

Multiplicative updates for optimization problems with dynamics. - Abbas Kazemipour; Behtash Babadi; Min Wu 001; Kaspar Podgorski; Shaul Druckmann (ACSSC, 2017)

Sampling Requirements for Stable Autoregressive Estimation. - Abbas Kazemipour; Sina Miran; Piya Pal; Behtash Babadi; Min Wu 001 (IEEE Trans. Signal Process., 2017)

Robust Estimation of Self-Exciting Generalized Linear Models With Application to Neuronal Modeling. - Abbas Kazemipour; Min Wu 001; Behtash Babadi (IEEE Trans. Signal Process., 2017)

Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications. - Abbas Kazemipour (2017)

Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis. - Abbas Kazemipour; Shaul Druckmann (GlobalSIP, 2018)

Fast and Stable Signal Deconvolution via Compressible State-Space Models. - Abbas Kazemipour; Ji Liu; Krystyna Solarana; Daniel A. Nagode; Patrick O. Kanold; Min Wu 001; Behtash Babadi (IEEE Trans. Biomed. Eng., 2018)

No Spurious Local Minima in Deep Quadratic Networks. - Abbas Kazemipour; Brett W. Larsen; Shaul Druckmann (CoRR, 2020)