Yali Amit

According to our database, Yali Amit authored at least 40 papers between 1992 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks.

Mufeng Tang, Yibo Yang, Yali Amit

Frontiers Comput. Neurosci., 2022

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

Angzhi Fan, Benjamin Ticknor, Yali Amit

CoRR, 2022

2021

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

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2021

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

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2021

2020

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

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2020

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

Zhisheng Xiao, Qing Yan, Yali Amit

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.

Yali Amit

Frontiers Comput. Neurosci., 2019

A Method to Model Conditional Distributions with Normalizing Flows.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2019

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

Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit

CoRR, 2019

2018

Biologically plausible deep learning.

Yali Amit

CoRR, 2018

2017

Detecting Curved Edges in Noisy Images in Sublinear Time.

Yi-Qing Wang, Alain Trouvé, Yali Amit, Boaz Nadler

J. Math. Imaging Vis., 2017

Deformable Classifiers.

Jiajun Shen, Yali Amit

CoRR, 2017

Dynamic Partition Models.

Marc Goessling, Yali Amit

CoRR, 2017

2015

A Generative Statistical Algorithm for Automatic Detection of Complex Postures.

Stanislav Nagy, Marc Goessling, Yali Amit, David Biron

PLoS Comput. Biol., 2015

Sparse Autoregressive Networks.

Marc Goessling, Yali Amit

CoRR, 2015

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

Marc Goessling, Yali Amit

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

2014

Object Detection.

Yali Amit, Pedro F. Felzenszwalb

Computer Vision, A Reference Guide, 2014

Memory Capacity of Networks with Stochastic Binary Synapses.

Alexis M. Dubreuil, Yali Amit, Nicolas Brunel

PLoS Comput. Biol., 2014

2012

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

Yali Amit, Jacob Walker

Frontiers Comput. Neurosci., 2012

2011

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

Yibi Huang, Yali Amit

J. Comput. Neurosci., 2011

2010

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

Yali Amit, Yibi Huang

Neural Comput., 2010

2008

Efficient Annotation of Vesicle Dynamics Video Microscopy.

Leandro Cortes, Yali Amit

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

Optimizing One-Shot Learning with Binary Synapses.

Sandro Romani, Daniel J. Amit, Yali Amit

Neural Comput., 2008

2007

POP: Patchwork of Parts Models for Object Recognition.

Yali Amit, Alain Trouvé

Int. J. Comput. Vis., 2007

2006

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

Stéphanie Allassonnière, Estelle Kuhn, Alain Trouvé, Yali Amit

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

Generative Models for Labeling Multi-object Configurations in Images.

Yali Amit, Alain Trouvé

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

Part-Based Statistical Models for Object Classification and Detection.

Elliot Joel Bernstein, Yali Amit

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.

Yali Amit, Donald Geman, Xiaodong Fan

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

2001

Speech recognition using randomized relational decision trees.

Yali Amit, Alejandro Murua

IEEE Trans. Speech Audio Process., 2001

Attractor Networks for Shape Recognition.

Yali Amit, Massimo Mascaro

Neural Comput., 2001

2000

A Neural Network Architecture for Visual Selection.

Yali Amit

Neural Comput., 2000

1999

A Computational Model for Visual Selection.

Yali Amit, Donald Geman

Neural Comput., 1999

1997

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

Yali Amit

IEEE Trans. Medical Imaging, 1997

Joint Induction of Shape Features and Tree Classifiers.

Yali Amit, Kenneth Wilder

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

Shape Quantization And Recognition With Randomized Trees.

Yali Amit, Donald Geman

Neural Comput., 1997

1996

Graphical Templates for Model Registration.

Yali Amit, Augustine Kong

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

1994

A Nonlinear Variational Problem for Image Matching.

Yali Amit

SIAM J. Sci. Comput., 1994

1993

Deformable template models for emission tomography.

Yali Amit, Kevin M. Manbeck

IEEE Trans. Medical Imaging, 1993

Large deviations for coding Markov chains and Gibbs random fields.

Yali Amit, Michael I. Miller

IEEE Trans. Inf. Theory, 1993

1992

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

Yali Amit, Michael I. Miller

IEEE Trans. Inf. Theory, 1992