Yali Amit

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Speech recognition using randomized relational decision trees

Yali Amit, Alejandro Murua, Y. Amit, 2001, IEEE Trans. Speech Audio Process..

1D Models: Deformable Contours

Yali Amit, 2002 .

Shape Quantization and Recognition with Randomized Trees

Yali Amit, Donald Geman, D. Geman, 1997, Neural Computation.

Joint Induction of Shape Features and Tree Classifiers

Yali Amit, Kenneth Wilder, Y. Amit, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

A Method to Model Conditional Distributions with Normalizing Flows pdf

Yali Amit, Qing Yan, Zhisheng Xiao, 2019, ArXiv.

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

Yali Amit, Qing Yan, Zhisheng Xiao, 2020, NeurIPS.

2D Object Detection and Recognition: Models, Algorithms, and Networks

Yali Amit, Y. Amit, 2002 .

Dynamic Partition Models pdf

Yali Amit, Marc Goessling, Y. Amit, 2017, ArXiv.

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

Yali Amit, Jacob Walker, Y. Amit, 2012, Front. Comput. Neurosci..

Detection and Recognition: Overview of Models

Yali Amit, 2002 .

Sparse Autoregressive Networks pdf

Yali Amit, Marc Goessling, Marc Goessling, 2015, ArXiv.

Wavelet-based deformable contour and its application to detection of pulmonary nodules on chest radiographs

Yali Amit, Hiroyuki Yoshida, Kunio Doi, 1997, Optics & Photonics.

Encoding of Coordinated Grasp Trajectories in Primary Motor Cortex

Yali Amit, Kazutaka Takahashi, Nicholas G Hatsopoulos, 2010, The Journal of Neuroscience.

Spatial Graphical Models for Image Matching and Object Recognition

Yali Amit, 2000 .

Generative Models for Labeling Multi-object Configurations in Images

Yali Amit, Alain Trouvé, 2006, Toward Category-Level Object Recognition.

Modeling behavior in different delay match to sample tasks in one simple network

Yali Amit, Shaul Hochstein, Volodya Yakovlev, 2013, Front. Hum. Neurosci..

2D Models: Deformable Images

Yali Amit, Y. Amit, 2002 .

Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs

Yali Amit, Yibi Huang, Y. Amit, 2010, Neural Computation.

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

Yali Amit, Marc Goessling, 2015, ICLR.

Graphical Templates for Model Registration

Yali Amit, Augustine Kong, Y. Amit, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Memory Capacity of Networks with Stochastic Binary Synapses

Yali Amit, Nicolas Brunel, Alexis M. Dubreuil, 2013, BMC Neuroscience.

Biologically plausible deep learning pdf

Yali Amit, Y. Amit, 2018, ArXiv.

Robust acoustic object detection.

Yali Amit, Partha Niyogi, Alexey Koloydenko, 2005, The Journal of the Acoustical Society of America.

A coarse-to-fine strategy for multiclass shape detection

Yali Amit, Donald Geman, Xiaodong Fan, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Part-based statistical models for object classification and detection

Yali Amit, Elliot Joel Bernstein, Y. Amit, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

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

Yali Amit, Yibi Huang, Y. Amit, 2011, Journal of Computational Neuroscience.

A Generative Statistical Algorithm for Automatic Detection of Complex Postures

Yali Amit, Marc Goessling, Stanislav Nagy, 2015, PLoS Comput. Biol..

Sequential Learning of Reusable Parts for Object Detection

Yali Amit, Donald Geman, S. Krempp, 2003 .

A statistical model for computer recognition of sequences of handwritten digits, with applications to zip codes

Yali Amit, Steve C. Wang, 1998 .

Neural Network Implementations

Yali Amit, 2002 .

Compact Part-Based Image Representations

Yali Amit, Marc Goessling, Y. Amit, 2014, 1412.3708.

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

Yali Amit, Qing Yan, Zhisheng Xiao, 2020, ArXiv.

Mixtures of Sparse Autoregressive Networks

Yali Amit, Marc Goessling, 2015 .

Optimizing One-Shot Learning with Binary Synapses

Yali Amit, Daniel J. Amit, Sandro Romani, 2008, Neural Computation.

Sparse Models: Formulation, Training, and Statistical Properties

Yali Amit, 2002 .

Single-unit stability using chronically implanted multielectrode arrays.

Yali Amit, Nicholas G Hatsopoulos, Aaron Suminski, 2009, Journal of neurophysiology.

Deep Learning With Asymmetric Connections and Hebbian Updates

Yali Amit, Y. Amit, 2018, Front. Comput. Neurosci..

Deformable Topological Templates for Image Analysis.

Yali Amit, 1996 .

Detection of Sparse Models: Counting

Yali Amit, 2002 .

A Nonlinear Variational Problem for Image Matching

Yali Amit, Y. Amit, 1994, SIAM J. Sci. Comput..

Deformable template models for emission tomography

Yali Amit, Kevin M. Manbeck, Y. Amit, 1993, IEEE Trans. Medical Imaging.

2D Object Detection and Recognition

Yali Amit, Y. Amit, 2002 .

Generative Latent Flow

Yali Amit, Zhisheng Xiao, Qing Yan, 2019 .

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

Yali Amit, Alain Trouvé, Stéphanie Allassonnière, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Detection of Sparse Models: Dynamic Programming

Yali Amit, 2002 .

A Neural Network Architecture for Visual Selection

Yali Amit, Y. Amit, 2000, Neural Computation.

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

Yali Amit, Zhisheng Xiao, Qing Yan, 2019, ArXiv.

Large deviations for coding Markov chains and Gibbs random fields

Yali Amit, Michael I. Miller, Y. Amit, 1993, IEEE Trans. Inf. Theory.

Efficient Annotation of Vesicle Dynamics Video Microscopy

Yali Amit, Leandro Cortes, Y. Amit, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deformable Classifiers pdf

Yali Amit, Jiajun Shen, 2017, ArXiv.

Attractor Networks for Shape Recognition

Yali Amit, Massimo Mascaro, 2001, Neural Computation.

Scene Analysis: Merging Detection and Recognition

Yali Amit, 2002 .

Detecting Curved Edges in Noisy Images in Sublinear Time

Yali Amit, Alain Trouvé, Boaz Nadler, 2017, Journal of Mathematical Imaging and Vision.

It's hard to forget: resetting memory in delay-match-to-multiple-image tasks

Yali Amit, Shaul Hochstein, Volodya Yakovlev, 2013, Front. Hum. Neurosci..

Memory capacity of networks with stochastic binary synapses

Yali Amit, Nicolas Brunel, Alexis M. Dubreuil, 2013, BMC Neuroscience.

Object Detection

Yali Amit, Pedro F. Felzenszwalb, Y. Amit, 2020, Computer Vision, A Reference Guide.

POP: Patchwork of Parts Models for Object Recognition

Yali Amit, Alain Trouvé, Y. Amit, 2007, International Journal of Computer Vision.

Compact Compositional Models

Yali Amit, Marc Goessling, Y. Amit, 2014 .

A Computational Model for Visual Selection

Yali Amit, Donald Geman, D. Geman, 1999, Neural Computation.

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

Yali Amit, Qing Yan, Zhisheng Xiao, 2021, ArXiv.

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

Yali Amit, Yibo Yang, Mufeng Tang, 2021, ArXiv.

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

Yali Amit, Qing Yan, Zhisheng Xiao, 2021, ArXiv.

Single-unit stability using chronically implanted multi-electrode arrays 4 5

Yali Amit, Adam S. Dickey, Nicholas G. Hatsopoulos, 2009 .

Efficient Detection and Tracking of Multiple Vesicles in Video Microscopy

Yali Amit, Y. Amit, Leandro Cortés, 2007 .

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

Yali Amit, Qing Yan, Zhisheng Xiao, 2020, NeurIPS.

Wavelet snake for classification of nodules and false positives in digital chest radiographs

Yali Amit, Hiroyuki Yoshida, Kunio Doi, 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).