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Theano: A Python framework for fast computation of mathematical
  expressions

Theano: A Python framework for fast computation of mathematical expressions

9 May 2016
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
Dzmitry Bahdanau
Nicolas Ballas
Frédéric Bastien
Justin Bayer
A. Belikov
A. Belopolsky
Yoshua Bengio
Arnaud Bergeron
James Bergstra
Valentin Bisson
Josh Bleecher Snyder
Nicolas Bouchard
Nicolas Boulanger-Lewandowski
Xavier Bouthillier
A. D. Brébisson
Olivier Breuleux
P. Carrier
Kyunghyun Cho
J. Chorowski
Paul Christiano
Tim Cooijmans
Marc-Alexandre Côté
Myriam Côté
Aaron Courville
Yann N. Dauphin
Olivier Delalleau
Julien Demouth
Guillaume Desjardins
Sander Dieleman
Laurent Dinh
Mélanie Ducoffe
Vincent Dumoulin
Samira Ebrahimi Kahou
D. Erhan
Ziye Fan
Orhan Firat
M. Germain
Xavier Glorot
Ian Goodfellow
M. Graham
Çağlar Gülçehre
P. Hamel
Iban Harlouchet
J. Heng
Balázs Hidasi
S. Honari
Arjun Jain
Sébastien Jean
Kai Jia
Mikhail Korobov
Vivek Kulkarni
Alex Lamb
Pascal Lamblin
Eric Larsen
César Laurent
Seanie Lee
S. Lefrançois
S. Lemieux
Nicholas Léonard
Zhouhan Lin
J. Livezey
C. Lorenz
J. Lowin
Qianli Ma
Pierre-Antoine Manzagol
Olivier Mastropietro
R. McGibbon
Roland Memisevic
B. V. Merrienboer
Vincent Michalski
M. Berk Mirza
A. Orlandi
C. Pal
Razvan Pascanu
Mohammad Pezeshki
Colin Raffel
D. Renshaw
M. Rocklin
Adriana Romero
Markus Roth
Peter Sadowski
J. Salvatier
F. Savard
Jan Schluter
John Schulman
Gabriel Schwartz
Iulian Serban
Dmitriy Serdyuk
Samira Shabanian
Étienne Simon
Sigurd Spieckermann
S. Subramanyam
Jakub Sygnowski
Jérémie Tanguay
Gijs van Tulder
Joseph P. Turian
Sebastian Urban
Pascal Vincent
Francesco Visin
H. D. Vries
David Warde-Farley
Dustin J. Webb
Matthew Willson
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
ArXiv (abs)PDFHTML

Papers citing "Theano: A Python framework for fast computation of mathematical expressions"

50 / 523 papers shown
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Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion
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Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction
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Mostafa Parchami
R. Elmasri
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A Robust Adaptive Stochastic Gradient Method for Deep Learning
A Robust Adaptive Stochastic Gradient Method for Deep Learning
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Yoshua Bengio
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02 Mar 2017
Wireless Interference Identification with Convolutional Neural Networks
Wireless Interference Identification with Convolutional Neural Networks
Malte Schmidt
Dimitri Block
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02 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
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Andrew Cunningham
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01 Mar 2017
Learning What Data to Learn
Learning What Data to Learn
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Fei Tian
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28 Feb 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
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Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
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Convolutional Recurrent Neural Networks for Polyphonic Sound Event
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Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakir
Giambattista Parascandolo
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21 Feb 2017
Learning Normalized Inputs for Iterative Estimation in Medical Image
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Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
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Lisa Di-Jorio
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Adriana Romero
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C. Pal
Samuel Kadoury
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219
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16 Feb 2017
Automatic Handgun Detection Alarm in Videos Using Deep Learning
Automatic Handgun Detection Alarm in Videos Using Deep Learning
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Siham Tabik
Francisco Herrera
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16 Feb 2017
Handwritten Arabic Numeral Recognition using Deep Learning Neural
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Handwritten Arabic Numeral Recognition using Deep Learning Neural Networks
Akm Ashiquzzaman
A. Tushar
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15 Feb 2017
On Detecting Adversarial Perturbations
On Detecting Adversarial Perturbations
J. H. Metzen
Tim Genewein
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Bastian Bischoff
AAML
151
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14 Feb 2017
Unsupervised temporal context learning using convolutional neural
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Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
S. Bodenstedt
M. Wagner
Darko Katic
P. Mietkowski
Benjamin F. B. Mayer
H. Kenngott
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Stefanie Speidel
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Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for
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Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation
Chengde Wan
Thomas Probst
Luc Van Gool
Angela Yao
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11 Feb 2017
Hybrid Code Networks: practical and efficient end-to-end dialog control
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Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
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Deep Learning with Dynamic Computation Graphs
Deep Learning with Dynamic Computation Graphs
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Peter Norvig
GNNAI4CE
105
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Calibrating Energy-based Generative Adversarial Networks
Calibrating Energy-based Generative Adversarial Networks
Zihang Dai
Amjad Almahairi
Philip Bachman
Eduard H. Hovy
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A method of limiting performance loss of CNNs in noisy environments
A method of limiting performance loss of CNNs in noisy environments
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Parichay Kapoor
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An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
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Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Samuel F. Dodge
Lina Karam
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On orthogonality and learning recurrent networks with long term
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On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov
C. Trabelsi
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C. Pal
ODL
168
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31 Jan 2017
Fully Convolutional Architectures for Multi-Class Segmentation in Chest
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Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs
A. A. Novikov
Dimitrios Lenis
David Major
J. Hladůvka
M. Wimmer
Katja Bühler
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139
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Memory Augmented Neural Networks with Wormhole Connections
Memory Augmented Neural Networks with Wormhole Connections
Çağlar Gülçehre
A. Chandar
Yoshua Bengio
102
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A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in
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A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe
V. Turchenko
Eric Chalmers
Artur Luczak
SSL
56
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Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
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Philip S. Yu
HAI
158
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Deep Learning for Computational Chemistry
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End-to-End ASR-free Keyword Search from Speech
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Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural
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Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks
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Scaling Binarized Neural Networks on Reconfigurable Logic
Scaling Binarized Neural Networks on Reconfigurable Logic
Nicholas J. Fraser
Yaman Umuroglu
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CNN-based Segmentation of Medical Imaging Data
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Baris Kayalibay
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Decoding with Finite-State Transducers on GPUs
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Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
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Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual
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Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
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Yu Zheng
Dekang Qi
Ruiyuan Li
Xiuwen Yi
Tianrui Li
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Akid: A Library for Neural Network Research and Production from a Dataism Approach
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Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient
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Collaborative Filtering with User-Item Co-Autoregressive Models
Collaborative Filtering with User-Item Co-Autoregressive Models
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Center-Focusing Multi-task CNN with Injected Features for Classification
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Imposing higher-level Structure in Polyphonic Music Generation using
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Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
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