Yali Amit - RankMe

42 papers A* 1Journal 36Unranked 4

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