Papers
23,522 papers found
A lattice filter model of the visual pathway
Karol Gregor, Dmitri B. Chklovskii
Dual-Space Analysis of the Sparse Linear Model
Yi Wu, David P. Wipf
Transferring Expectations in Model-based Reinforcement Learning
Trung Nguyen, Tomi Silander, Tze Y. Leong
Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell, Jeff Beck, Katherine A. Heller
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco Ruiz, Isabel Valera, Carlos Blanco et al.
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, Luca M. Gambardella et al.
Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs, Richard S. Zemel
Efficient and direct estimation of a neural subunit model for sensory coding
Brett Vintch, Andrew Zaharia, J Movshon et al.
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
Yanping Huang, Timothy Hanks, Mike Shadlen et al.
Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han et al.
Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani et al.
Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu, Koji Eguchi, Eric P. Xing
Factorial LDA: Sparse Multi-Dimensional Text Models
Michael Paul, Mark Dredze
Joint Modeling of a Matrix with Associated Text via Latent Binary Features
Xianxing Zhang, Lawrence Carin
A Generative Model for Parts-based Object Segmentation
S. Eslami, Christopher Williams
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler, Sven Dickinson, Raquel Urtasun
Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow et al.
Learning as MAP Inference in Discrete Graphical Models
Xianghang Liu, James Petterson, Tibério S. Caetano
Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti, Sinead Williamson
A mechanistic model of early sensory processing based on subtracting sparse representations
Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii
Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Training sparse natural image models with a fast Gibbs sampler of an extended state space
Lucas Theis, Jascha Sohl-dickstein, Matthias Bethge
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
Manuel Lopes, Tobias Lang, Marc Toussaint et al.
From Deformations to Parts: Motion-based Segmentation of 3D Objects
Soumya Ghosh, Matthew Loper, Erik B. Sudderth et al.