Joseph Marino
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Iterative amortized inference
J Marino, Y Yue, S Mandt
arXiv preprint arXiv:1807.09356, 2018
522018
Probabilistic video generation using holistic attribute control
J He, A Lehrmann, J Marino, G Mori, L Sigal
Proceedings of the European Conference on Computer Vision (ECCV), 452-467, 2018
322018
A general method for amortizing variational filtering
J Marino, M Cvitkovic, Y Yue
Advances in Neural Information Processing Systems, 7857-7868, 2018
82018
Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International Conference on Learning Representations, 2018
52018
Learning to infer
J Marino, Y Yue, S Mandt
42018
Improving sequential latent variable models with autoregressive flows
J Marino, L Chen, J He, S Mandt
Symposium on Advances in Approximate Bayesian Inference, 1-16, 2020
22020
Taxonomic Curriculum Learning for Fine-Grained Object Recognition
J Marino
Preprint at: https://joelouismarino. github. io/research …, 2016
22016
On the design of variational rl algorithms
J Marino, A Piché, Y Yue
NeurIPS Workshop on Deep Reinforcement Learning, 2019
12019
A general framework for amortizing variational filtering
J Marino, M Cvitkovic, Y Yue
ICML 2018 Workshop Theor. Found. Appl. Deep Gener. Model, 2018
12018
Predictive Coding, Variational Autoencoders, and Biological Connections
J Marino
2019
Deep Generative Video Compression with Temporal Autoregressive Transforms
R Yang, Y Yang, J Marino, Y Yang, S Mandt
Sequential Autoregressive Flow-Based Policies
A Guerra, J Marino
An Inference Perspective on Model-Based Reinforcement Learning
J Marino, Y Yue
Variational Latent Dependency Learning
J He, Y Gong, J Marino, G Mori, A Lehrmann
Non-expert Labels Improve Fine-Grained Object Recognition
J Marino
Iterative Inference Models
J Marino, Y Yue, S Mandt
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