Joseph Marino
Titel
Zitiert von
Zitiert von
Jahr
Iterative amortized inference
J Marino, Y Yue, S Mandt
arXiv preprint arXiv:1807.09356, 2018
612018
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
362018
A general method for amortizing variational filtering
J Marino, M Cvitkovic, Y Yue
Advances in Neural Information Processing Systems, 7857-7868, 2018
102018
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
52018
Taxonomic Curriculum Learning for Fine-Grained Object Recognition
J Marino
Preprint at: https://joelouismarino. github. io/research …, 2016
32016
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
Iterative Amortized Policy Optimization
J Marino, A Piché, AD Ialongo, Y Yue
arXiv preprint arXiv:2010.10670, 2020
12020
Hierarchical Autoregressive Modeling for Neural Video Compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2010.10258, 2020
12020
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
arXiv preprint arXiv:2011.07464, 2020
2020
On the Design of Variational RL Algorithms
J Marino, A Piché, Y Yue
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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