Guangyao Zhou
Guangyao Zhou
Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
Cited by
The DeepMind JAX Ecosystem, 2020
I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ...
URL, 2020
L1-graph construction using structured sparsity
G Zhou, Z Lu, Y Peng
Neurocomputing 120, 441-452, 2013
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables
G Zhou
Advances in Neural Information Processing Systems, 2020, 2020
Robotap: Tracking arbitrary points for few-shot visual imitation
M Vecerik, C Doersch, Y Yang, T Davchev, Y Aytar, G Zhou, R Hadsell, ...
IEEE International Conference on Robotics and Automation (ICRA) 2024, 2024
Space is a latent sequence: Structured sequence learning as a unified theory of representation in the hippocampus
RV Raju, JS Guntupalli, G Zhou, M Lázaro-Gredilla, D George
arXiv preprint arXiv:2212.01508, 2022
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
G Zhou, A Dedieu, N Kumar, W Lehrach, M Lázaro-Gredilla, S Kushagra, ...
Accepted at Journal of Machine Learning Research, 2023
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables
M Lázaro-Gredilla, W Lehrach, N Gothoskar, G Zhou, A Dedieu, D George
AAAI Conference on Artificial Intelligence (AAAI) 2021, 2021
Graph schemas as abstractions for transfer learning, inference, and planning
JS Guntupalli, RV Raju, S Kushagra, C Wendelken, D Sawyer, ...
arXiv preprint arXiv:2302.07350, 2023
A detailed mathematical theory of thalamic and cortical microcircuits based on inference in a generative vision model
D George, M Lazaro-Gredilla, W Lehrach, A Dedieu, G Zhou
Biorxiv, 2020.09. 09.290601, 2020
Sparse feature selection by information theory
G Zhou, S Geman, JM Buhmann
2014 IEEE International Symposium on Information Theory, 926-930, 2014
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
G Zhou, N Gothoskar, L Wang, JB Tenenbaum, D Gutfreund, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping
G Zhou, W Lehrach, A Dedieu, M Lázaro-Gredilla, D George
arXiv preprint arXiv:2112.03371, 2021
Base-pair Ambiguity and the Kinetics of RNA Folding
G Zhou, J Loper, S Geman
BMC Bioinformatics 20 (1), 666, 2019
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation
A Dedieu, G Zhou, D George, M Lazaro-Gredilla
International Conference on Machine Learning (ICML) 2023, 2023
Metropolis Augmented Hamiltonian Monte Carlo
G Zhou
4th Symposium on Advances in Approximate Bayesian Inference, 2022, 2022
Capacities and efficient computation of first passage probabilities
J Loper, G Zhou, S Geman
Phys. Rev. E 102, 023304, 2020
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
A Dedieu, W Lehrach, G Zhou, D George, M Lázaro-Gredilla
International Conference on Machine Learning (ICML) 2024, 2024
Method and system for query training
M Lazaro-Gredilla, W Lehrach, N Gothoskar, Z GuangYao, A Dedieu, ...
US Patent 11,157,793, 2021
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