NICE: Non-linear Independent Components Estimation

Laurent Dinh, David Krueger, Yoshua Bengio

arXiv (Cornell University)

Geometric LearningEngineeringMachine LearningAutoencodersImage Analysis +20

Density Estimation Using Real NVP

Laurent Dinh, Jascha Sohl‐Dickstein, Samy Bengio

arXiv (Cornell University)

Geometric LearningEngineeringMachine LearningAutoencodersNatural Images +19

Predicting Parameters in Deep Learning

Misha Denil, Babak Shakibi, Laurent Dinh, +2

arXiv (Cornell University)

Artificial IntelligenceConvolutional Neural NetworkHyperparameter EstimationEngineeringMachine Learning +12

A Recurrent Latent Variable Model for Sequential Data

Jun‐Young Chung, Kyle Kastner, Laurent Dinh, +3

arXiv (Cornell University)

EngineeringMachine LearningSequential LearningAutoencodersRecurrent Neural Network +17

NICE: Non-linear Independent Components Estimation

Laurent Dinh, David Krueger, Yoshua Bengio

Estimating Glomerular Filtration Rate in Kidney Transplantation

Christine A. White, Ayub Akbari, Naser Hussain, +4

Journal of the American Society of Nephrology

HemodialysisTranslational MedicineUrologyRenal FunctionKidney Transplant +11

Sharp Minima Can Generalize For Deep Nets

Laurent Dinh, Razvan Pascanu, Samy Bengio, +1

arXiv (Cornell University)

Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningData Science +12

A Recurrent Latent Variable Model for Sequential Data

Jun‐Young Chung, Kyle Kastner, Laurent Dinh, +3

arXiv (Cornell University)

EngineeringMachine LearningSequential LearningAutoencodersRecurrent Neural Network +17

Techniques for Learning Binary Stochastic Feedforward Neural Networks

Tapani Raiko, Mathias Berglund, Guillaume Alain, +1

arXiv (Cornell University)

EngineeringMachine LearningData ScienceDeterministic Mlp NetworksPattern Recognition +10

VideoFlow: A Flow-Based Generative Model for Video

M. N. Anil Kumar, Mohammad Babaeizadeh, Dumitru Erhan, +4

Artificial IntelligenceEngineeringMachine LearningVideo ProcessingVideo Adaptation +18