Abbas Kazemipour

According to our database, Abbas Kazemipour authored at least 11 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

No Spurious Local Minima in Deep Quadratic Networks.

Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann

CoRR, 2020

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, Behtash Babadi

IEEE Trans. Biomed. Eng., 2018

Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis.

Abbas Kazemipour, Shaul Druckmann

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications.

Abbas Kazemipour

PhD thesis, 2017

Robust Estimation of Self-Exciting Generalized Linear Models With Application to Neuronal Modeling.

Abbas Kazemipour, Min Wu, Behtash Babadi

IEEE Trans. Signal Process., 2017

Sampling Requirements for Stable Autoregressive Estimation.

Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu

IEEE Trans. Signal Process., 2017

Multiplicative updates for optimization problems with dynamics.

Abbas Kazemipour, Behtash Babadi, Min Wu, Kaspar Podgorski, Shaul Druckmann

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Efficient estimation of compressible state-space models with application to calcium signal deconvolution.

Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Sufficient conditions for stable recovery of sparse autoregressive models.

Abbas Kazemipour, Behtash Babadi, Min Wu

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015

Robust Estimation of Self-Exciting Point Process Models with Application to Neuronal Modeling.

Abbas Kazemipour, Min Wu, Behtash Babadi

CoRR, 2015

2014

Sparse estimation of self-exciting point processes with application to LGN neural modeling.

Abbas Kazemipour, Behtash Babadi, Min Wu

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014