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Joseph Marino
Joseph Marino
Senior Research Scientist, Google DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Iterative amortized inference
J Marino, Y Yue, S Mandt
International Conference on Machine Learning, 3403-3412, 2018
1952018
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
862018
Predictive coding, variational autoencoders, and biological connections
J Marino
Neural Computation 34 (1), 1-44, 2022
552022
Hierarchical autoregressive modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2010.10258, 2020
482020
A general method for amortizing variational filtering
J Marino, M Cvitkovic, Y Yue
Advances in neural information processing systems 31, 2018
402018
Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International conference on learning representations, 2018
272018
Iterative amortized policy optimization
J Marino, A Piché, AD Ialongo, Y Yue
Advances in Neural Information Processing Systems 34, 15667-15681, 2021
242021
Insights from generative modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9908-9921, 2023
152023
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
142020
Beyond Target Networks: Improving Deep -learning with Functional Regularization
A Piché, J Marino, GM Marconi, C Pal, ME Khan
132021
Scaling instructable agents across many simulated worlds
MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ...
arXiv preprint arXiv:2404.10179, 2024
92024
Learning to infer
J Marino, Y Yue, S Mandt
72018
Scaling instructable agents across many simulated worlds
M Abi Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ...
arXiv e-prints, arXiv: 2404.10179, 2024
52024
An inference perspective on model-based reinforcement learning
J Marino, Y Yue
ICML Workshop on Generative Modeling and Model-Based Reasoning for Robotics …, 2019
52019
Deep generative video compression with temporal autoregressive transforms
R Yang, Y Yang, J Marino, Y Yang, S Mandt
Proc. ICML Workshop Invertible Neural Netw. Normalizing Flows, Explicit …, 2020
32020
Taxonomic Curriculum Learning for Fine-Grained Object Recognition
J Marino
Preprint at: https://joelouismarino. github. io/research …, 2016
32016
Bridging the gap between target networks and functional regularization
A Piché, V Thomas, R Pardinas, J Marino, GM Marconi, C Pal, ME Khan
arXiv preprint arXiv:2106.02613, 2021
22021
Learned Feedback & Feedforward Perception & Control
JL Marino
California Institute of Technology, 2021
22021
On the design of variational rl algorithms
J Marino, A Piché, Y Yue
NeurIPS Workshop on Deep Reinforcement Learning, 2019
22019
Sequential Autoregressive Flow-Based Policies
A Guerra, J Marino
ICML workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2020
12020
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