Iterative amortized inference J Marino, Y Yue, S Mandt arXiv preprint arXiv:1807.09356, 2018 | 65 | 2018 |
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 | 38 | 2018 |
A general method for amortizing variational filtering J Marino, M Cvitkovic, Y Yue Advances in Neural Information Processing Systems, 7857-7868, 2018 | 10 | 2018 |
Variational autoencoders with jointly optimized latent dependency structure J He, Y Gong, J Marino, G Mori, A Lehrmann International Conference on Learning Representations, 2018 | 5 | 2018 |
Learning to infer J Marino, Y Yue, S Mandt | 5 | 2018 |
Taxonomic Curriculum Learning for Fine-Grained Object Recognition J Marino Preprint at: https://joelouismarino. github. io/research …, 2016 | 3 | 2016 |
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 | 2 | 2020 |
Iterative Amortized Policy Optimization J Marino, A Piché, AD Ialongo, Y Yue arXiv preprint arXiv:2010.10670, 2020 | 1 | 2020 |
Hierarchical Autoregressive Modeling for Neural Video Compression R Yang, Y Yang, J Marino, S Mandt arXiv preprint arXiv:2010.10258, 2020 | 1 | 2020 |
A general framework for amortizing variational filtering J Marino, M Cvitkovic, Y Yue ICML 2018 Workshop Theor. Found. Appl. Deep Gener. Model, 2018 | 1 | 2018 |
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 | | |