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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
ArXivPDFHTML

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

50 / 270 papers shown
Title
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
10
24
0
17 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
27
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
22
223
0
14 Nov 2016
Joint Multimodal Learning with Deep Generative Models
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRL
GAN
32
222
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
PINN
AI4CE
21
226
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
20
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
30
40
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
20
282
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
24
2,505
0
02 Nov 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
16
300
0
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
66
588
0
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
19
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
16
864
0
15 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
70
2,885
0
07 Oct 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
78
2,523
0
07 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
29
287
0
05 Oct 2016
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
Petar Velickovic
Duo Wang
Nicholas D. Lane
Pietro Lio
26
31
0
01 Oct 2016
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
  Prediction
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPC
AI4TS
33
2,024
0
01 Oct 2016
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
16
452
0
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
32
64
0
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
26
79
0
27 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
27
457
0
22 Sep 2016
Production-Level Facial Performance Capture Using Deep Convolutional
  Neural Networks
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
S. Laine
Tero Karras
Timo Aila
Antti Herva
Shunsuke Saito
Ronald Yu
Hao Li
J. Lehtinen
CVBM
3DH
27
101
0
21 Sep 2016
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
15
476
0
14 Sep 2016
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
17
1,787
0
09 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
40
534
0
06 Sep 2016
A deep learning model for estimating story points
A deep learning model for estimating story points
Morakot Choetkiertikul
Hoa Dam
T. Tran
Trang Pham
A. Ghose
Tim Menzies
24
170
0
02 Sep 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
Benchmarking State-of-the-Art Deep Learning Software Tools
S. Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
BDL
14
327
0
25 Aug 2016
Inverting Variational Autoencoders for Improved Generative Accuracy
Inverting Variational Autoencoders for Improved Generative Accuracy
I. Gemp
Ishan Durugkar
M. Parente
M. Dyar
Sridhar Mahadevan
DRL
GAN
26
3
0
21 Aug 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
23
46
0
17 Aug 2016
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
Po-Hsuan Chen
Xia Zhu
Hejia Zhang
Javier S. Turek
Janice Chen
Theodore L. Willke
Uri Hasson
Peter J. Ramadge
29
24
0
17 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
26
577
0
15 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
35
1,035
0
14 Aug 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
16
120
0
09 Aug 2016
An Actor-Critic Algorithm for Sequence Prediction
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau
Philemon Brakel
Kelvin Xu
Anirudh Goyal
Ryan J. Lowe
Joelle Pineau
Aaron Courville
Yoshua Bengio
57
635
0
24 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
52
10,307
0
21 Jul 2016
Attention-over-Attention Neural Networks for Reading Comprehension
Attention-over-Attention Neural Networks for Reading Comprehension
Yiming Cui
Z. Chen
Si Wei
Shijin Wang
Ting Liu
Guoping Hu
AIMat
27
437
0
15 Jul 2016
Charagram: Embedding Words and Sentences via Character n-grams
Charagram: Embedding Words and Sentences via Character n-grams
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
NAI
GNN
24
193
0
10 Jul 2016
Explaining Deep Convolutional Neural Networks on Music Classification
Explaining Deep Convolutional Neural Networks on Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
MGen
25
46
0
08 Jul 2016
Consensus Attention-based Neural Networks for Chinese Reading
  Comprehension
Consensus Attention-based Neural Networks for Chinese Reading Comprehension
Yiming Cui
Ting Liu
Z. Chen
Shijin Wang
Guoping Hu
19
87
0
08 Jul 2016
Automated 5-year Mortality Prediction using Deep Learning and Radiomics
  Features from Chest Computed Tomography
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography
G. Carneiro
Luke Oakden-Rayner
A. Bradley
Jacinto C. Nascimento
L. Palmer
17
27
0
01 Jul 2016
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
Çağlar Gülçehre
A. Chandar
Kyunghyun Cho
Yoshua Bengio
20
64
0
30 Jun 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
26
732
0
27 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
29
161
0
21 Jun 2016
On Multiplicative Integration with Recurrent Neural Networks
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Wenjie Qu
Yoshua Bengio
Ruslan Salakhutdinov
34
154
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21 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
28
23
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16 Jun 2016
Continuously Learning Neural Dialogue Management
Continuously Learning Neural Dialogue Management
Pei-hao Su
Milica Gasic
N. Mrksic
L. Rojas-Barahona
Stefan Ultes
David Vandyke
Tsung-Hsien Wen
S. Young
19
122
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08 Jun 2016
Gated Word-Character Recurrent Language Model
Gated Word-Character Recurrent Language Model
Yasumasa Onoe
Kyunghyun Cho
RALM
KELM
22
106
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06 Jun 2016
End-to-end LSTM-based dialog control optimized with supervised and
  reinforcement learning
End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
Jason D. Williams
Geoffrey Zweig
OffRL
8
154
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03 Jun 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
119
1,233
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02 Jun 2016
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