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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
Title
POSEidon: Face-from-Depth for Driver Pose Estimation
POSEidon: Face-from-Depth for Driver Pose Estimation
Guido Borghi
Marco Venturelli
R. Vezzani
Rita Cucchiara
3DHCVBM
102
154
0
30 Nov 2016
Fast Face-swap Using Convolutional Neural Networks
Fast Face-swap Using Convolutional Neural Networks
I. Korshunova
Wenzhe Shi
J. Dambre
Lucas Theis
CVBM3DHPICV
129
383
0
29 Nov 2016
Social Behavior Prediction from First Person Videos
Social Behavior Prediction from First Person Videos
Shan Su
J. Hong
Jianbo Shi
H. Park
EgoV
61
12
0
29 Nov 2016
Diet Networks: Thin Parameters for Fat Genomics
Diet Networks: Thin Parameters for Fat Genomics
Adriana Romero
P. Carrier
Akram Erraqabi
Tristan Sylvain
Alex Auvolat
Etienne Dejoie
Marc-André Legault
M. Dubé
J. Hussin
Yoshua Bengio
84
68
0
28 Nov 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
241
1,583
0
28 Nov 2016
Invariant Representations for Noisy Speech Recognition
Invariant Representations for Noisy Speech Recognition
Dmitriy Serdyuk
Kartik Audhkhasi
Philemon Brakel
Bhuvana Ramabhadran
Samuel Thomas
Yoshua Bengio
OOD
67
68
0
27 Nov 2016
Bottleneck Conditional Density Estimation
Bottleneck Conditional Density Estimation
Rui Shu
Hung Bui
Mohammad Ghavamzadeh
BDL
69
23
0
25 Nov 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
107
565
0
24 Nov 2016
Scalable Bayesian Learning of Recurrent Neural Networks for Language
  Modeling
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
Zhe Gan
Chunyuan Li
Changyou Chen
Yunchen Pu
Qinliang Su
Lawrence Carin
BDLUQCV
139
41
0
23 Nov 2016
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
208
2,945
0
23 Nov 2016
Semantic Compositional Networks for Visual Captioning
Semantic Compositional Networks for Visual Captioning
Zhe Gan
Chuang Gan
Xiaodong He
Yunchen Pu
Kenneth Tran
Jianfeng Gao
Lawrence Carin
Li Deng
CoGe
114
427
0
23 Nov 2016
Interpretation of Prediction Models Using the Input Gradient
Interpretation of Prediction Models Using the Input Gradient
Yotam Hechtlinger
FaMLAI4CEFAtt
82
85
0
23 Nov 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Chongxuan Li
Jun Zhu
Bo Zhang
AI4CE
99
42
0
22 Nov 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
99
678
0
21 Nov 2016
RhoanaNet Pipeline: Dense Automatic Neural Annotation
RhoanaNet Pipeline: Dense Automatic Neural Annotation
Seymour Knowles-Barley
V. Kaynig
T. Jones
A. Wilson
Joshua Morgan
Dongil Lee
Daniel R. Berger
N. Kasthuri
J. Lichtman
Hanspeter Pfister
3DV
71
22
0
21 Nov 2016
Emergence of Compositional Representations in Restricted Boltzmann
  Machines
Emergence of Compositional Representations in Restricted Boltzmann Machines
J. Tubiana
R. Monasson
AI4CE
61
91
0
21 Nov 2016
Using LSTM recurrent neural networks for monitoring the LHC
  superconducting magnets
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets
Maciej Wielgosz
A. Skoczeń
M. Mertik
49
53
0
18 Nov 2016
Squared Earth Mover's Distance-based Loss for Training Deep Neural
  Networks
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
L. Hou
Chen-Ping Yu
Dimitris Samaras
127
153
0
17 Nov 2016
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense
  Stereo
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
Andrey Kuzmin
Dmitry Mikushin
Victor Lempitsky
3DV
43
25
0
17 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRLSSLBDL
100
340
0
15 Nov 2016
Knowledge Enhanced Hybrid Neural Network for Text Matching
Knowledge Enhanced Hybrid Neural Network for Text Matching
Yu-Huan Wu
Wei Wu
Zhoujun Li
Ming Zhou
70
41
0
15 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
142
223
0
14 Nov 2016
Inferring low-dimensional microstructure representations using
  convolutional neural networks
Inferring low-dimensional microstructure representations using convolutional neural networks
Nicholas Lubbers
T. Lookman
K. Barros
61
109
0
08 Nov 2016
Joint Multimodal Learning with Deep Generative Models
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRLGAN
85
224
0
07 Nov 2016
A Differentiable Physics Engine for Deep Learning in Robotics
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINNAI4CE
132
233
0
05 Nov 2016
Loss-aware Binarization of Deep Networks
Loss-aware Binarization of Deep Networks
Lu Hou
Quanming Yao
James T. Kwok
MQ
98
220
0
05 Nov 2016
Estimating Causal Direction and Confounding of Two Discrete Variables
Estimating Causal Direction and Confounding of Two Discrete Variables
Krzysztof Chalupka
F. Eberhardt
Pietro Perona
CML
79
8
0
04 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI
  Implementation of Deep Neural Networks
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
A. Ardakani
C. Condo
W. Gross
86
42
0
04 Nov 2016
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Wade Genders
S. Razavi
87
286
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03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
230
2,544
0
02 Nov 2016
Full-Capacity Unitary Recurrent Neural Networks
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom
Thomas Powers
J. Hershey
Jonathan Le Roux
L. Atlas
121
294
0
31 Oct 2016
Edward: A library for probabilistic modeling, inference, and criticism
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran
A. Kucukelbir
Adji Bousso Dieng
Maja R. Rudolph
Dawen Liang
David M. Blei
113
300
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31 Oct 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
148
598
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27 Oct 2016
Icon: An Interactive Approach to Train Deep Neural Networks for
  Segmentation of Neuronal Structures
Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
Felix Gonda
V. Kaynig
T. Jones
D. Haehn
J. Lichtman
T. Parag
Hanspeter Pfister
31
6
0
27 Oct 2016
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
96
880
0
15 Oct 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
125
435
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14 Oct 2016
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya (Adi) Prakash
Sadid A. Hasan
Kathy Lee
Vivek Datla
Ashequl Qadir
Joey Liu
Oladimeji Farri
128
267
0
10 Oct 2016
Extrapolation and learning equations
Extrapolation and learning equations
Georg Martius
Christoph H. Lampert
78
160
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10 Oct 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
311
2,962
0
07 Oct 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
227
2,572
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07 Oct 2016
Neural-based Noise Filtering from Word Embeddings
Neural-based Noise Filtering from Word Embeddings
K. Nguyen
Sabine Schulte im Walde
Ngoc Thang Vu
52
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06 Oct 2016
DeepGaze II: Reading fixations from deep features trained on object
  recognition
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer
Thomas S. A. Wallis
Matthias Bethge
111
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05 Oct 2016
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot
Fartash Faghri
Nicholas Carlini
Ian Goodfellow
Reuben Feinman
...
David Berthelot
P. Hendricks
Jonas Rauber
Rujun Long
Patrick McDaniel
AAML
98
516
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03 Oct 2016
End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural
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End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks
Tim O'Shea
Seth D. Hitefield
Johnathan Corgan
AI4TS
56
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03 Oct 2016
A Tour of TensorFlow
A Tour of TensorFlow
Peter Goldsborough
VLM
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Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
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Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPCAI4TS
138
2,085
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Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
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Uri Shalit
David Sontag
BDL
121
461
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30 Sep 2016
Learning from the Hindsight Plan -- Episodic MPC Improvement
Learning from the Hindsight Plan -- Episodic MPC Improvement
Aviv Tamar
G. Thomas
Tianhao Zhang
Sergey Levine
Pieter Abbeel
155
66
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28 Sep 2016
Modelling Radiological Language with Bidirectional Long Short-Term
  Memory Networks
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks
Savelie Cornegruta
R. Bakewell
S. Withey
Giovanni Montana
MedIm
90
80
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27 Sep 2016
Creating Causal Embeddings for Question Answering with Minimal
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Creating Causal Embeddings for Question Answering with Minimal Supervision
Rebecca Sharp
Mihai Surdeanu
Peter Alexander Jansen
Peter Clark
Michael Hammond
CML
42
51
0
26 Sep 2016
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