Yali Amit

Frontiers Comput. Neurosci., 2022

Detection Selection Algorithm: A Likelihood based Optimization Method to Perform Post Processing for Object Detection.

[BibT_eX]

[DOI]

Angzhi Fan

Benjamin Ticknor

CoRR, 2022

2021

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

[BibT_eX]

[DOI]

CoRR, 2021

EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy.

[BibT_eX]

[DOI]

CoRR, 2020

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Deep Learning With Asymmetric Connections and Hebbian Updates.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2019

A Method to Model Conditional Distributions with Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2019

Generative Latent Flow: A Framework for Non-adversarial Image Generation.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Biologically plausible deep learning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Detecting Curved Edges in Noisy Images in Sublinear Time.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

Deformable Classifiers.

[BibT_eX]

[DOI]

Jiajun Shen

CoRR, 2017

Dynamic Partition Models.

[BibT_eX]

[DOI]

Marc Goessling

CoRR, 2017

2015

A Generative Statistical Algorithm for Automatic Detection of Complex Postures.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2015

Sparse Autoregressive Networks.

[BibT_eX]

[DOI]

Marc Goessling

CoRR, 2015

Compact Part-Based Image Representations: Extremal Competition and Overgeneralization.

[BibT_eX]

[DOI]

Marc Goessling

Proceedings of the 3rd International Conference on Learning Representations, 2015

2014

Object Detection.

[BibT_eX]

[DOI]

Pedro F. Felzenszwalb

Computer Vision, A Reference Guide, 2014

Memory Capacity of Networks with Stochastic Binary Synapses.

[BibT_eX]

[DOI]

Alexis M. Dubreuil

Nicolas Brunel

PLoS Comput. Biol., 2014

2012

Recurrent network of perceptrons with three state synapses achieves competitive classification on real inputs.

[BibT_eX]

[DOI]

Jacob Walker

Frontiers Comput. Neurosci., 2012

2011

Capacity analysis in multi-state synaptic models: a retrieval probability perspective.

[BibT_eX]

[DOI]

Yibi Huang

J. Comput. Neurosci., 2011

2010

Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs.

[BibT_eX]

[DOI]

Yibi Huang

Neural Comput., 2010

2008

Efficient Annotation of Vesicle Dynamics Video Microscopy.

[BibT_eX]

[DOI]

Leandro Cortes

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Optimizing One-Shot Learning with Binary Synapses.

[BibT_eX]

[DOI]

Sandro Romani

Daniel J. Amit

Neural Comput., 2008

2007

POP: Patchwork of Parts Models for Object Recognition.

[BibT_eX]

[DOI]

Alain Trouvé

Int. J. Comput. Vis., 2007

2006

Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models.

[BibT_eX]

[DOI]

Stéphanie Allassonnière

Estelle Kuhn

Alain Trouvé

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Generative Models for Labeling Multi-object Configurations in Images.

[BibT_eX]

[DOI]

Alain Trouvé

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

Part-Based Statistical Models for Object Classification and Detection.

[BibT_eX]

[DOI]

Elliot Joel Bernstein

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

A Coarse-to-Fine Strategy for Multiclass Shape Detection.

[BibT_eX]

[DOI]

Donald Geman

Xiaodong Fan

IEEE Trans. Pattern Anal. Mach. Intell., 2004

2001

Speech recognition using randomized relational decision trees.

[BibT_eX]

[DOI]

Alejandro Murua

IEEE Trans. Speech Audio Process., 2001

Attractor Networks for Shape Recognition.

[BibT_eX]

[DOI]

Massimo Mascaro

Neural Comput., 2001

2000

A Neural Network Architecture for Visual Selection.

[BibT_eX]

[DOI]

Neural Comput., 2000

1999

A Computational Model for Visual Selection.

[BibT_eX]

[DOI]

Donald Geman

Neural Comput., 1999

1997

Graphical Shape Templates for Automatic Anatomy Detection with Applications to MRI Brain Scans.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 1997

Joint Induction of Shape Features and Tree Classifiers.

[BibT_eX]

[DOI]

Kenneth Wilder

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Shape Quantization And Recognition With Randomized Trees.

[BibT_eX]

[DOI]

Donald Geman

Neural Comput., 1997

1996

Graphical Templates for Model Registration.

[BibT_eX]

[DOI]

Augustine Kong

IEEE Trans. Pattern Anal. Mach. Intell., 1996

1994

A Nonlinear Variational Problem for Image Matching.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 1994

1993

Deformable template models for emission tomography.

[BibT_eX]

[DOI]

Kevin M. Manbeck

IEEE Trans. Medical Imaging, 1993

Large deviations for coding Markov chains and Gibbs random fields.

[BibT_eX]

[DOI]

Michael I. Miller

IEEE Trans. Inf. Theory, 1993

1992

Large deviations for the asymptotics of Ziv-Lempel codes for 2-D Gibbs fields.

[BibT_eX]

[DOI]