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Michael Teng
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Year
Bayesian distributed stochastic gradient descent
M Teng, F Wood
Advances in Neural Information Processing Systems 31, 2018
212018
Nonintercalating nanosubstrates create asymmetry between bilayer leaflets
S Varma, M Teng, HL Scott
Langmuir 28 (5), 2842-2848, 2012
152012
Poloxamer 188 decreases membrane toxicity of mutant SOD1 and ameliorates pathology observed in SOD1 mouse model for ALS
JJ Riehm, L Wang, G Ghadge, M Teng, AM Correa, JD Marks, RP Roos, ...
Neurobiology of disease 115, 115-126, 2018
112018
Near-optimal glimpse sequences for improved hard attention neural network training
W Harvey, M Teng, F Wood
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
62022
Semi-supervised sequential generative models
M Teng, TA Le, A Scibior, F Wood
arXiv preprint arXiv:2007.00155, 2020
52020
High throughput synchronous distributed stochastic gradient descent
M Teng, F Wood
arXiv preprint arXiv:1803.04209, 2018
32018
A closer look at gradient estimators with reinforcement learning as inference
JW Lavington, M Teng, M Schmidt, F Wood
Deep RL Workshop NeurIPS 2021, 2021
22021
Exploration with multi-sample target values for distributional reinforcement learning
M Teng, M van de Panne, F Wood
arXiv preprint arXiv:2202.02693, 2022
12022
Imitation learning of factored multi-agent reactive models
M Teng, TA Le, A Scibior, F Wood
arXiv preprint arXiv:1903.04714, 2019
12019
Applications of time-series generative models and inference techniques
M Teng
University of Oxford, 2022
2022
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks
W Harvey, M Teng, F Wood
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Articles 1–11