Arunava Banerjee, Ph.D.

Associate Professor

Primary Research Area

Machine Learning

Research Areas

Computational Neuroscience, Machine Learning

Education

Ph.D., Rutgers University, 2001

Research Interests

Computational Neuroscience, Machine Learning, Computer Vision, Operational Research

Publications

Ramaswamy V., Banerjee A. (2014) Connectomic Constraints on Computation in Feedforward Networks of Spiking Neurons. Journal of Computational Neuroscience.

Rajwade A., Rangarajan A., Banerjee A. (2013) Image Denoising using the Higher Order Singular Value Decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), pp. 849-862.

Alptekinoglu A., Banerjee A., Paul A. A., Jain N. (2013) Inventory Pooling to Deliver Differentiated Service. Manufacturing and Service Operations Management 15(1), pp. 33-44.

Kumar R., Banerjee A., Vemuri B. C., Pfister H. (2012) Trainable Convolution Filters and their Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(7), pp. 1423-1436.

VanderKraats N. D., Banerjee A. (2011) A Finite-Sample, Distribution-Free, Probabilistic Lower Bound on Mutual Information. Neural Computation, 23(7), pp. 1862-1898.

Kumar R., Barmpoutis A., Banerjee A., Vemuri B. C. (2011) Non-Lambertian Reflectance Modeling and Shape Recovery of Faces using Tensor Splines. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3), pp. 553-567.

Gurumoorthy K. S., Rajwade A., Banerjee A., Rangarajan A. (2010) A Method for Compact Image Representation using Sparse Matrix and Tensor Projections onto Exemplar Orthonormal Bases. IEEE Transactions on Image Processing, 19(2), pp. 322-334.

Rajwade, A., Banerjee, A., Rangarajan, A. (2008) Probability Density Estimation using Isocontours and Isosurfaces: Application to Information Theoretic Image Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3), pp. 475-491.

Banerjee A., Series P., Pouget A. (2007) Dynamical Constraints on using Precise Spike Timing to Compute in Recurrent Cortical Networks. Neural Computation, 20(4), pp. 974-993.

Banerjee A. (2006) On the Sensitive Dependence on Initial Conditions of the Dynamics of Networks of Spiking Neurons. Journal of Computational Neuroscience, 20(3), pp. 321-348.

Awards & Distinctions

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