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Olivier Mastropietro

Publications -  7
Citations -  3992

Olivier Mastropietro is an academic researcher. The author has contributed to research in topics: Inference & Computer science. The author has an hindex of 4, co-authored 4 publications receiving 3781 citations.

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Theano: A Python framework for fast computation of mathematical expressions

Rami Al-Rfou, +111 more
TL;DR: The performance of Theano is compared against Torch7 and TensorFlow on several machine learning models and recently-introduced functionalities and improvements are discussed.
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Adversarially Learned Inference

TL;DR: The adversarially learned inference (ALI) model is introduced, which jointly learns a generation network and an inference network using an adversarial process and the usefulness of the learned representations is confirmed by obtaining a performance competitive with state-of-the-art on the semi-supervised SVHN and CIFAR10 tasks.
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Hierarchical Adversarially Learned Inference

TL;DR: A novel hierarchical generative model with a simple Markovian structure and a corresponding inference model that supports the learning of progressively more abstract representations as well as providing semantically meaningful reconstructions with different levels of fidelity is proposed.
Journal ArticleDOI

Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime

TL;DR: Deeplite Neutrino for production-ready optimization of the models and Deeplite Runtime for deployment of ultra-low bit quantized models on Arm-based platforms enabling deployment on the vast array of 32-bit and 64-bit Arm- based devices are introduced.