Publications

Conference Publications


Variational Autoencoders with Jointly Optimized Latent Dependency Structure
Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann
ICLR 2019
PDF

A General Method for Amortizing Variational Filtering
Joseph Marino, Milan Cvitkovic, Yisong Yue
NeurIPS 2018
arXiv PDF poster code

Probabilistic Video Generation using Holistic Attribute Control
Jiawei He, Andreas Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
ECCV 2018
arXiv

Iterative Amortized Inference
Joseph Marino, Yisong Yue, Stephan Mandt
ICML 2018
arXiv PDF poster code

Workshop Publications & Manuscripts


Predictive Coding, Variational Autoencoders, and Biological Connections
Joseph Marino
NeurIPS 2019 Workshop on Real Neurons and Hidden Units
PDF

On the Design of Variational RL Algorithms
Joseph Marino, Alex Piche, Yisong Yue
NeurIPS 2019 Workshop on Deep Reinforcement Learning
PDF Coming Soon!

An Inference Perspective on Model-Based Reinforcement Learning
Joseph Marino, Yisong Yue
ICML 2019 Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI
PDF poster slides talk @ 41m 30s

Variational Latent Dependency Learning
Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann
NeurIPS 2018 Workshop on Bayesian Deep Learning
PDF

A General Framework for Amortizing Variational Filtering
Joseph Marino, Milan Cvitkovic, Yisong Yue
ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models
PDF poster

Learning to Infer
Joseph Marino, Yisong Yue, Stephan Mandt
ICLR 2018 Workshop Track
PDF poster

Iterative Inference Models
Joseph Marino, Yisong Yue, Stephan Mandt
NeurIPS 2017 Workshop on Bayesian Deep Learning
PDF poster

Non-expert Labels Improve Fine-Grained Object Recognition
Joseph Marino
PDF

Taxonomic Curriculum Learning for Fine-Grained Object Recognition
Joseph Marino
PDF