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Joseph Marino
Joseph Marino
Research Scientist, DeepMind
Bestätigte E-Mail-Adresse bei deepmind.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Iterative amortized inference
J Marino, Y Yue, S Mandt
International Conference on Machine Learning, 3403-3412, 2018
1102018
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
622018
A general method for amortizing variational filtering
J Marino, M Cvitkovic, Y Yue
Advances in neural information processing systems 31, 2018
202018
Iterative amortized policy optimization
J Marino, A Piché, AD Ialongo, Y Yue
Advances in Neural Information Processing Systems 34, 2021
152021
Hierarchical autoregressive modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2010.10258, 2020
142020
Predictive coding, variational autoencoders, and biological connections
J Marino
Neural Computation 34 (1), 1-44, 2022
92022
Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International Conference on Learning Representations, 2018
92018
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
82020
Learning to infer
J Marino, Y Yue, S Mandt
62018
An inference perspective on model-based reinforcement learning
J Marino, Y Yue
ICML Workshop on Generative Modeling and Model-Based Reasoning for Robotics …, 2019
32019
Beyond Target Networks: Improving Deep -learning with Functional Regularization
A Piché, J Marino, GM Marconi, C Pal, ME Khan
arXiv preprint arXiv:2106.02613, 2021
22021
Deep generative video compression with temporal autoregressive transforms
R Yang, Y Yang, J Marino, Y Yang, S Mandt
ICML 2020 Workshop on Invertible Neural Networks, Normalizing Flows, and …, 2020
22020
On the design of variational rl algorithms
J Marino, A Piché, Y Yue
NeurIPS Workshop on Deep Reinforcement Learning, 2019
22019
Taxonomic Curriculum Learning for Fine-Grained Object Recognition
J Marino
Semantic Scholar, 2016
22016
Insights from Generative Modeling for Neural Video Compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2107.13136, 2021
12021
Sequential Autoregressive Flow-Based Policies
A Guerra, J Marino
ICML workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 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
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
Learned Feedback & Feedforward Perception & Control
JL Marino
California Institute of Technology, 2021
2021
Generative Video Compression as Hierarchical Variational Inference
R Yang, Y Yang, J Marino, S Mandt
Third Symposium on Advances in Approximate Bayesian Inference, 2020
2020
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