Neural Networks and the Bias/Variance Dilemma. - Stuart Geman; Elie Bienenstock; René Doursat (Neural Comput., 1992)

Compositionality, MDL Priors, and Object Recognition. - Elie Bienenstock; Stuart Geman; Daniel Potter (NIPS, 1996)

Regulated Criticality in the Brain? - Elie Bienenstock; Daniel Lehmann 001 (Adv. Complex Syst., 1998)

Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex. - Yun Gao; Michael J. Black; Elie Bienenstock; Shy Shoham; John P. Donoghue (NIPS, 2001)

Neural Decoding of Cursor Motion Using a Kalman Filter. - Wei Wu; Michael J. Black; Yun Gao; Elie Bienenstock; Mijail Serruya; A. Shaikhouni; John P. Donoghue (NIPS, 2002)

Covariance Plasticity and Regulated Criticality - Elie Bienenstock; Daniel Lehmann 001 (CoRR, 2002)

At what time scale does the nervous system operate? - N. Hatsopoulos; Stuart Geman; Asohan Amarasingham; Elie Bienenstock (Neurocomputing, 2003)

Modeling and decoding motor cortical activity using a switching Kalman filter. - Wei Wu; Michael J. Black; David Mumford; Yun Gao; Elie Bienenstock; John P. Donoghue (IEEE Trans. Biomed. Eng., 2004)

From the Entropy to the Statistical Structure of Spike Trains. - Yun Gao; Ioannis Kontoyiannis; Elie Bienenstock (ISIT, 2006)

Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter. - Wei Wu; Yun Gao; Elie Bienenstock; John P. Donoghue; Michael J. Black (Neural Comput., 2006)

Estimating the Entropy of Binary Time Series: Methodology, Some Theory and a Simulation Study. - Yun Gao; Ioannis Kontoyiannis; Elie Bienenstock (Entropy, 2008)

SVD and Clustering for Unsupervised POS Tagging. - Michael Lamar; Yariv Maron; Mark Johnson; Elie Bienenstock (ACL (2), 2010)

Latent-Descriptor Clustering for Unsupervised POS Induction. - Michael Lamar; Yariv Maron; Elie Bienenstock (EMNLP, 2010)

Sphere Embedding: An Application to Part-of-Speech Induction. - Yariv Maron; Michael Lamar; Elie Bienenstock (NIPS, 2010)