Publications

2021


Learned Feedback & Feedforward Perception & Control
Joseph Marino
Ph.D. Thesis, 2021
PDF

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization
Alexandre Piché, Joseph Marino, Gian Maria Marconi, Chris J. Pal, Mohammad Emtiyaz Khan
Preprint, 2021
arXiv

Scale Space Flow with Autoregressive Priors
Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
ICLR 2021 Workshop on Neural Compression
PDF

Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
ICLR 2021
arXiv code

2020


Iterative Amortized Policy Optimization
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
Preprint, 2020
arXiv code

Sequential Autoregressive Flow-Based Policies
Alex Guerra, Joseph Marino
ICML 2020 Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
PDF code video

Deep Generative Video Compression with Temporal Autoregressive Transform
Ruihan Yang, Yibo Yang, Joseph Marino, Yang Yang, Stephan Mandt
ICML 2020 Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
PDF

2019


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

Improving Sequential Latent Variable Models with Autoregressive Flows
Joseph Marino, Lei Chen, Jiawei He, Stephan Mandt
Advances in Approximate Bayesian Inference (AABI) 2019
arXiv PDF poster slides code

On the Design of Variational RL Algorithms
Joseph Marino, Alexandre Piché, Yisong Yue
NeurIPS 2019 Workshop on Deep Reinforcement Learning
PDF poster

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

2018


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

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

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 video

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

2017


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

2016


Non-expert Labels Improve Fine-Grained Object Recognition
Joseph Marino
Preprint 2016
PDF

Taxonomic Curriculum Learning for Fine-Grained Object Recognition
Joseph Marino
Preprint 2016
PDF