Yali Amit

Publication Activity (10 Years)

Years Active: 1992-2022
Publications (10 Years): 15

Top Topics

Selection Algorithm

Automatic Detection

Memory Capacity

Generative Model

Top Venues

Frontiers Comput. Neurosci.

PLoS Comput. Biol.

J. Math. Imaging Vis.

Publications

Mufeng Tang, Yibo Yang, Yali Amit
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. Frontiers Comput. Neurosci. 16 (2022)
Angzhi Fan, Benjamin Ticknor, Yali Amit
Detection Selection Algorithm: A Likelihood based Optimization Method to Perform Post Processing for Object Detection. CoRR (2022)
Mufeng Tang, Yibo Yang, Yali Amit
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. CoRR (2021)
Zhisheng Xiao, Qing Yan, Yali Amit
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. CoRR (2021)
Zhisheng Xiao, Qing Yan, Yali Amit
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? CoRR (2021)
Zhisheng Xiao, Qing Yan, Yali Amit
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. CoRR (2020)
Zhisheng Xiao, Qing Yan, Yali Amit
Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy. CoRR (2020)
Zhisheng Xiao, Qing Yan, Yali Amit
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. NeurIPS (2020)
Yali Amit
Deep Learning With Asymmetric Connections and Hebbian Updates. Frontiers Comput. Neurosci. 13 (2019)
Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit
Generative Latent Flow: A Framework for Non-adversarial Image Generation. CoRR (2019)
Zhisheng Xiao, Qing Yan, Yali Amit
A Method to Model Conditional Distributions with Normalizing Flows. CoRR (2019)
Yali Amit
Biologically plausible deep learning. CoRR (2018)
Yi-Qing Wang, Alain Trouvé, Yali Amit, Boaz Nadler
Detecting Curved Edges in Noisy Images in Sublinear Time. J. Math. Imaging Vis. 59 (3) (2017)
Marc Goessling, Yali Amit
Dynamic Partition Models. CoRR (2017)
Jiajun Shen, Yali Amit
Deformable Classifiers. CoRR (2017)
Marc Goessling, Yali Amit
Sparse Autoregressive Networks. CoRR (2015)
Stanislav Nagy, Marc Goessling, Yali Amit, David Biron
A Generative Statistical Algorithm for Automatic Detection of Complex Postures. PLoS Comput. Biol. 11 (10) (2015)
Marc Goessling, Yali Amit
Compact Part-Based Image Representations: Extremal Competition and Overgeneralization. ICLR (Workshop) (2015)
Alexis M. Dubreuil, Yali Amit, Nicolas Brunel
Memory Capacity of Networks with Stochastic Binary Synapses. PLoS Comput. Biol. 10 (8) (2014)
Yali Amit, Jacob Walker
Recurrent network of perceptrons with three state synapses achieves competitive classification on real inputs. Frontiers Comput. Neurosci. 6 (2012)
Yibi Huang, Yali Amit
Capacity analysis in multi-state synaptic models: a retrieval probability perspective. J. Comput. Neurosci. 30 (3) (2011)
Yali Amit, Yibi Huang
Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs. Neural Comput. 22 (3) (2010)
Leandro Cortes, Yali Amit
Efficient Annotation of Vesicle Dynamics Video Microscopy. IEEE Trans. Pattern Anal. Mach. Intell. 30 (11) (2008)
Sandro Romani, Daniel J. Amit, Yali Amit
Optimizing One-Shot Learning with Binary Synapses. Neural Comput. 20 (8) (2008)
Yali Amit, Alain Trouvé
POP: Patchwork of Parts Models for Object Recognition. Int. J. Comput. Vis. 75 (2) (2007)
Yali Amit, Alain Trouvé
Generative Models for Labeling Multi-object Configurations in Images. Toward Category-Level Object Recognition (2006)
Stéphanie Allassonnière, Estelle Kuhn, Alain Trouvé, Yali Amit
Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models. ICASSP (5) (2006)
Elliot Joel Bernstein, Yali Amit
Part-Based Statistical Models for Object Classification and Detection. CVPR (2) (2005)
Yali Amit, Donald Geman, Xiaodong Fan
A Coarse-to-Fine Strategy for Multiclass Shape Detection. IEEE Trans. Pattern Anal. Mach. Intell. 26 (12) (2004)
Yali Amit, Massimo Mascaro
Attractor Networks for Shape Recognition. Neural Comput. 13 (6) (2001)
Yali Amit, Alejandro Murua
Speech recognition using randomized relational decision trees. IEEE Trans. Speech Audio Process. 9 (4) (2001)
Yali Amit
A Neural Network Architecture for Visual Selection. Neural Comput. 12 (5) (2000)
Yali Amit, Donald Geman
A Computational Model for Visual Selection. Neural Comput. 11 (7) (1999)
Yali Amit, Kenneth Wilder
Joint Induction of Shape Features and Tree Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 19 (11) (1997)
Yali Amit
Graphical Shape Templates for Automatic Anatomy Detection with Applications to MRI Brain Scans. IEEE Trans. Medical Imaging 16 (1) (1997)
Yali Amit, Donald Geman
Shape Quantization And Recognition With Randomized Trees. Neural Comput. 9 (7) (1997)
Yali Amit, Augustine Kong
Graphical Templates for Model Registration. IEEE Trans. Pattern Anal. Mach. Intell. 18 (3) (1996)
Yali Amit
A Nonlinear Variational Problem for Image Matching. SIAM J. Sci. Comput. 15 (1) (1994)
Yali Amit, Michael I. Miller
Large deviations for coding Markov chains and Gibbs random fields. IEEE Trans. Inf. Theory 39 (1) (1993)
Yali Amit, Kevin M. Manbeck
Deformable template models for emission tomography. IEEE Trans. Medical Imaging 12 (2) (1993)
Yali Amit, Michael I. Miller
Large deviations for the asymptotics of Ziv-Lempel codes for 2-D Gibbs fields. IEEE Trans. Inf. Theory 38 (4) (1992)