Joseph Marino
Title
Cited by
Cited by
Year
Iterative amortized inference
J Marino, Y Yue, S Mandt
International Conference on Machine Learning, 3403-3412, 2018
682018
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
422018
A general method for amortizing variational filtering
J Marino, M Cvitkovic, Y Yue
arXiv preprint arXiv:1811.05090, 2018
102018
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
72020
Learning to infer
J Marino, Y Yue, S Mandt
62018
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
Hierarchical Autoregressive Modeling for Neural Video Compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2010.10258, 2020
42020
Iterative Amortized Policy Optimization
J Marino, A Piché, AD Ialongo, Y Yue
arXiv preprint arXiv:2010.10670, 2020
32020
Taxonomic Curriculum Learning for Fine-Grained Object Recognition
J Marino
Semantic Scholar, 2016
32016
Predictive Coding, Variational Autoencoders, and Biological Connections
J Marino
arXiv preprint arXiv:2011.07464, 2020
12020
SCALE SPACE FLOW WITH AUTOREGRESSIVE PRIORS
R Yang, Y Yang, J Marino, S Mandt
Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021
2021
Generative Video Compression as Hierarchical Variational Inference
R Yang, Y Yang, J Marino, S Mandt
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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Articles 1–15