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Francesco Visin

Alumni

Publications

Generating Complex Question Decompositions in the Face of Distribution Shifts.
Kelvin Han
Claire Gardent
Marah Ihab Abdin
Jyoti Aneja
Hany Hassan Awadalla
Ammar Ahmed Awadallah
Ahmad Awan
Nguyen Bach
Amit Bahree
Arash Bakhtiari
Jianmin Bao
Harkirat Singh Behl
Alon Benhaim
Misha Bilenko
Johan Bjorck
Sébastien Bubeck
Martin Cai
Qin Cai
Vishrav Chaudhary
Dong Chen … (see 342 more)
Weizhu Chen
Yen-Chun Chen 0001
Yi-ling Chen
Hao Cheng
Parul Chopra
Xiyang Dai
Matthew Dixon
Ronen Eldan
Victor Fragoso
Jianfeng Gao
Mei Gao
Min Gao
Amit Garg
Allison Del Giorno
Abhishek Goswami
S. Gunasekar
Emman Haider
Jun-heng Hao
Russell J. Hewett
Wen-Wei Hu
Jamie Huynh
Dan Iter
Sam Ade Jacobs
Mojan Javaheripi
Xin Jin
Nikos Karampatziakis
Piero Kauffmann
Mahoud Khademi
Dongwoo Kim
Young Jin Kim
Lev Kurilenko
James R. Lee
Yin Tat Lee
Yuanzhi Li
Yunsheng Li
Chen Liang
Lars Lidén
Xihui
Zeqi Lin
Ce Lin
Liyuan Liu
Mengchen Liu
Liu Weishung
Xiaodong Liu
Chong Liu
Piyush Luo
Ali Madan
David Mahmoudzadeh
Matt Majercak
Caio Mazzola
César Teodoro
Arindam Mendes
Hardik Mitra
Anh Modi
Brandon Nguyen
Norick Barun
Daniel Patra
Thomas Perez-Becker
Portet Reid
Heyang Pryzant
Marko Qin
Liliang Radmilac
Gustavo Ren
Corby de Rosa
Sambudha Rosset
Roy Olatunji
Olli Ruwase
Amin Saarikivi
Adil Saied
Michael Salim
Shital Santacroce
Ning Shah
Shang Hiteshi
Yelong Sharma
Swadheen Shen
Xia Shukla
Masahiro Song
Andrea Tanaka
Praneetha Tupini
Michael Wu
Bin Wyatt
Can Xiao
Jiahang Xu
Weijiang Xu
Jilong Xu
Sonali Xue
Fan Yadav
Jianwei Yang
Yifan Yang
Ziyi Yang
Donghan Yang
Yu Lu
Chenruidong Yuan
Cyril Zhang
Jianwen Zhang
Zhang
Li Lyna
Yi Zhang
Yue Zhang
Yunan Zhang 0001
Zhang Xiren
Zhou
Phi-3
Priyanka Agrawal
Chris Alberti
Fantine Huot
Joshua Maynez
Ji Ma
Kuzman Ganchev
Viraat Aryabumi
John Dang
Dwarak Talupuru
Saurabh Dash
David Cairuz
Hangyu Lin
Bharat Venkitesh
Madeline Smith
Jon Ander Campos
Yi Chern Tan
Kelly Marchisio
Max Bartolo
Sebastian Ruder
Acyr F. Locatelli
Julia Kreutzer
Nick Frosst
Aidan Gomez
Phil Blunsom
Marzieh Fadaee
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
Prafulla Dhariwal
Arvind Neelakantan
Pranav Shyam
Girish Sastry
Amanda Askell
Sandhini Agarwal
Ariel Herbert-Voss
Gretchen Krueger
T. Henighan
Rewon Child
Aditya Ramesh
Daniel M. Ziegler
Jeffrey Wu
Clemens Winter
Chris Hesse
Mark Chen
Eric Sigler
Ma-teusz Litwin
Scott Gray
Benjamin Chess
J. Clark
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei Gemma Team
Morgane Rivière
Shreya Pathak Pier
Giuseppe Sessa
Cassidy Hardin
Surya Bhupati-raju
L'eonard Hussenot
Thomas Mesnard
Bobak Shahriari
Alexandre Ramé
Johan Ferret
Peter Liu
Pouya Dehghani Tafti
Abe Friesen
Michelle Casbon
Sabela Ramos
Ravin Kumar
Charline Le Lan
Sammy Jerome
Anton Tsitsulin
Nino Vieillard
Piotr Stańczyk
Sertan Girgin
Nikola Momchev
Matt Hoffman
Shantanu Thakoor
Jean-Bastien Grill
Behnam Neyshabur
Olivier Bachem
Alanna Wal-ton
Aliaksei Severyn
Alicia Parrish
Aliya Ah-mad
Allen Hutchison
Alvin Abdagic
Amanda Carl
Amy Shen
Andy Brock
Andy Coenen
Anthony Laforge
Antonia Paterson
Ben Bastian
Bilal Piot
Boxi Wu
Brandon Royal
Charlie Chen
Chintu Kumar
Chris Perry
Christoper A. Welty
Christopher A. Choquette-Choo
Danila Sinopalnikov
David Wein-berger
Dimple Vijaykumar
Dominika Rogozi´nska
D. Herbison
Elisa Bandy
Emma Wang
Eric Noland
Erica Moreira
Evan Senter
Evgenii Elty-shev
Francesco Visin
Gabriel Rasskin
Gary Wei
Glenn Cameron
Gus Martins
Hadi Hashemi
Hanna Klimczak-Pluci´nska
Harleen Batra
Harsh Dhand
Ivan Nardini
Jacinda Mein
Jack Zhou
James Svens-son
Jeff Stanway
Jetha Chan
J. Zhou
Joana Carrasqueira
Joana Iljazi
Jocelyn Becker
Joe Fer-nandez
Joost Van Amersfoort
Josh Gordon
Josh Lipschultz
Joshua Newlan
Junsong Ji
Kareem Mo-hamed
Kartikeya Badola
Kat Black
Katie Mil-lican
Keelin McDonell
Kelvin Nguyen
Kiranbir Sodhia
Kish Greene
Lars Lowe Sjoesund
Lauren Usui
Laurent Sifre
L. Heuermann
Leti-cia Lago
Lilly McNealus
Livio Baldini
Soares Logan
Lucas Kilpatrick
Luciano Dixon
Martins Machel
Manvinder Reid
Mark Singh
Martin Görner Iverson
Mateo Wirth Mat Velloso
Matt Davi-dow
Matt Miller
Matthew Rahtz
Matthew Watson
Meg Risdal
Mehran Kazemi
Michael Moynihan
Ming Zhang
Minsuk Kahng
Minwoo Park
Mofi Rahman
Mohit Khatwani
Natalie Dao
Nenshad Bardoliwalla
N. Devanathan
Neta Dumai
Nilay Chauhan
O. Wahltinez
Pankil Botarda
Parker Barnes
Paul R. Barham
Paul Michel
Peng-chong Jin
Petko Georgiev
Phil Culliton
Pradeep Kup-pala
Ramona Comanescu
Ramona Merhej
Reena Jana
R. Rokni
Rishabh Agarwal
Ryan Mullins
Samaneh Saadat
S. M. Carthy
Sarah Cogan
Sarah Perrin
S'ebastien M. R. Arnold
Se-bastian Krause
Shengyang Dai
S. Garg
Shruti Sheth
S. Ronstrom
Susan Chan
Timothy Jordan
Bing Yu
Tom Eccles
Tom Hennigan
Tomas Kocisky
Tulsee Doshi
Vihan Jain
Vikas Yadav
Vilobh Meshram
Vishal Dharmadhikari
Warren Barkley
Wei Wei
Wenming Ye
Woohyun Han
Woosuk Kwon
Xiang Xu
Zhe Shen
Zhitao Gong
Zichuan Wei
Victor Cotruta
Phoebe Kirk
Anand Rao
Minh Giang
Ludovic Peran
Tris Brian Warkentin
Eli Collins
Joelle Barral
Zoubin Ghahramani
Raia Hadsell
D. Sculley
Jeanine Banks
Anca Dragan
2025-01-01
NAACL (Long Papers) (published)
doi.org
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team Morgane Riviere
Shreya Pathak
Pier Giuseppe Sessa
Cassidy Hardin
Surya Bhupatiraju
L'eonard Hussenot
Thomas Mesnard
Bobak Shahriari
Alexandre Ram'e
Johan Ferret
Peter Liu
Pouya Dehghani Tafti
Abe Friesen
Michelle Casbon
Sabela Ramos
Ravin Kumar
Charline Le Lan
Sammy Jerome
Anton Tsitsulin
Nino Vieillard … (see 175 more)
Piotr Stańczyk
Sertan Girgin
Nikola Momchev
Matt Hoffman
Shantanu Thakoor
Jean-Bastien Grill
Behnam Neyshabur
Alanna Walton
Aliaksei Severyn
Alicia Parrish
Aliya Ahmad
Allen Hutchison
Alvin Abdagic
Amanda Carl
Amy Shen
Andy Brock
Andy Coenen
Anthony Laforge
Antonia Paterson
Ben Bastian
Bilal Piot
Boxi Wu
Brandon Royal
Charlie Chen
Chintu Kumar
Chris Perry
Christoper A. Welty
Christopher A. Choquette-Choo
Danila Sinopalnikov
David Weinberger
Dimple Vijaykumar
Dominika Rogozi'nska
D. Herbison
Elisa Bandy
Emma Wang
Eric Noland
Erica Moreira
Evan Senter
Evgenii Eltyshev
Francesco Visin
Gabriel Rasskin
Gary Wei
Glenn Cameron
Gus Martins
Hadi Hashemi
Hanna Klimczak-Pluci'nska
Harleen Batra
Harsh Dhand
Ivan Nardini
Jacinda Mein
Jack Zhou
James Svensson
Jeff Stanway
Jetha Chan
Jin Zhou
Joana Carrasqueira
Joana Iljazi
Jocelyn Becker
Joe Fernandez
Joost Van Amersfoort
Josh Gordon
Josh Lipschultz
Joshua Newlan
Junsong Ji
Kareem Mohamed
Kartikeya Badola
Kat Black
Katie Millican
Keelin McDonell
Kelvin Nguyen
Kiranbir Sodhia
Kish Greene
Lars Lowe Sjoesund
Lauren Usui
Laurent Sifre
L. Heuermann
Leti-cia Lago
Lilly McNealus
Livio Baldini Soares
Logan Kilpatrick
Lucas Dixon
Luciano Martins
Machel Reid
Manvinder Singh
Mark Iverson
Martin Gorner
Mat Velloso
Mateo Wirth
Matt Davidow
Matt Miller
Matthew Rahtz
Matthew Watson
Meg Risdal
Mehran Kazemi
Michael Moynihan
Ming Zhang
Minsuk Kahng
Minwoo Park
Mofi Rahman
Mohit Khatwani
Natalie Dao
Nenshad Bardoliwalla
N. Devanathan
Neta Dumai
Nilay Chauhan
O. Wahltinez
Pankil Botarda
Parker Barnes
Paul R. Barham
Paul Michel
Peng-chong Jin
Petko Georgiev
Phil Culliton
Pradeep Kuppala
Ramona Comanescu
Ramona Merhej
Reena Jana
R. Rokni
Rishabh Agarwal
Ryan Mullins
Samaneh Saadat
S. M. Carthy
Sarah Perrin
S'ebastien M. R. Arnold
Se-bastian Krause
Shengyang Dai
S. Garg
Shruti Sheth
S. Ronstrom
Susan Chan
Timothy Jordan
Ting Yu
Tom Eccles
Tom Hennigan
Tomas Kocisky
Tulsee Doshi
Vihan Jain
Vikas Yadav
Vilobh Meshram
Vishal Dharmadhikari
Warren Barkley
Wei Wei
Wenming Ye
Woohyun Han
Woosuk Kwon
Xiang Xu
Zhe Shen
Zhitao Gong
Zichuan Wei
Victor Cotruta
Phoebe Kirk
Anand Rao
Minh Giang
Ludovic Peran
Tris Brian Warkentin
Eli Collins
Joelle Barral
Zoubin Ghahramani
Raia Hadsell
D. Sculley
Jeanine Banks
Anca Dragan
Slav Petrov
Oriol Vinyals
Jeffrey Dean
Demis Hassabis
Koray Kavukcuoglu
Clément Farabet
Elena Buchatskaya
Sebastian Borgeaud
Noah Fiedel
Armand Joulin
Kathleen Kenealy
Robert Dadashi
Alek Andreev
In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2… (see more) billion to 27 billion parameters. In this new version, we apply several known technical modifications to the Transformer architecture, such as interleaving local-global attentions (Beltagy et al., 2020a) and group-query attention (Ainslie et al., 2023). We also train the 2B and 9B models with knowledge distillation (Hinton et al., 2015) instead of next token prediction. The resulting models deliver the best performance for their size, and even offer competitive alternatives to models that are 2-3 times bigger. We release all our models to the community.
2024-07-31
ArXiv (preprint)
doi.org
arxiv.org
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team Morgane Riviere
Shreya Pathak
Pier Giuseppe Sessa
Cassidy Hardin
Surya Bhupatiraju
L'eonard Hussenot
Thomas Mesnard
Bobak Shahriari
Alexandre Ram'e
Johan Ferret
Peter Liu
Pouya Dehghani Tafti
Abe Friesen
Michelle Casbon
Sabela Ramos
Ravin Kumar
Charline Le Lan
Sammy Jerome
Anton Tsitsulin
Nino Vieillard … (see 175 more)
Piotr Stańczyk
Sertan Girgin
Nikola Momchev
Matt Hoffman
Shantanu Thakoor
Jean-Bastien Grill
Behnam Neyshabur
Alanna Walton
Aliaksei Severyn
Alicia Parrish
Aliya Ahmad
Allen Hutchison
Alvin Abdagic
Amanda Carl
Amy Shen
Andy Brock
Andy Coenen
Anthony Laforge
Antonia Paterson
Ben Bastian
Bilal Piot
Boxi Wu
Brandon Royal
Charlie Chen
Chintu Kumar
Chris Perry
Christoper A. Welty
Christopher A. Choquette-Choo
Danila Sinopalnikov
David Weinberger
Dimple Vijaykumar
Dominika Rogozi'nska
D. Herbison
Elisa Bandy
Emma Wang
Eric Noland
Erica Moreira
Evan Senter
Evgenii Eltyshev
Francesco Visin
Gabriel Rasskin
Gary Wei
Glenn Cameron
Gus Martins
Hadi Hashemi
Hanna Klimczak-Pluci'nska
Harleen Batra
Harsh Dhand
Ivan Nardini
Jacinda Mein
Jack Zhou
James Svensson
Jeff Stanway
Jetha Chan
Jin Zhou
Joana Carrasqueira
Joana Iljazi
Jocelyn Becker
Joe Fernandez
Joost Van Amersfoort
Josh Gordon
Josh Lipschultz
Joshua Newlan
Junsong Ji
Kareem Mohamed
Kartikeya Badola
Kat Black
Katie Millican
Keelin McDonell
Kelvin Nguyen
Kiranbir Sodhia
Kish Greene
Lars Lowe Sjoesund
Lauren Usui
Laurent Sifre
L. Heuermann
Leti-cia Lago
Lilly McNealus
Livio Baldini Soares
Logan Kilpatrick
Lucas Dixon
Luciano Martins
Machel Reid
Manvinder Singh
Mark Iverson
Martin Gorner
Mat Velloso
Mateo Wirth
Matt Davidow
Matt Miller
Matthew Rahtz
Matthew Watson
Meg Risdal
Mehran Kazemi
Michael Moynihan
Ming Zhang
Minsuk Kahng
Minwoo Park
Mofi Rahman
Mohit Khatwani
Natalie Dao
Nenshad Bardoliwalla
N. Devanathan
Neta Dumai
Nilay Chauhan
O. Wahltinez
Pankil Botarda
Parker Barnes
Paul R. Barham
Paul Michel
Peng-chong Jin
Petko Georgiev
Phil Culliton
Pradeep Kuppala
Ramona Comanescu
Ramona Merhej
Reena Jana
R. Rokni
Rishabh Agarwal
Ryan Mullins
Samaneh Saadat
S. M. Carthy
Sarah Perrin
S'ebastien M. R. Arnold
Se-bastian Krause
Shengyang Dai
S. Garg
Shruti Sheth
S. Ronstrom
Susan Chan
Timothy Jordan
Bing Yu
Tom Eccles
Tom Hennigan
Tomas Kocisky
Tulsee Doshi
Vihan Jain
Vikas Yadav
Vilobh Meshram
Vishal Dharmadhikari
Warren Barkley
Wei Wei
Wenming Ye
Woohyun Han
Woosuk Kwon
Xiang Xu
Zhe Shen
Zhitao Gong
Zichuan Wei
Victor Cotruta
Phoebe Kirk
Anand Rao
Minh Giang
Ludovic Peran
Tris Brian Warkentin
Eli Collins
Joelle Barral
Zoubin Ghahramani
Raia Hadsell
D. Sculley
Jeanine Banks
Anca Dragan
Slav Petrov
Oriol Vinyals
Jeffrey Dean
Demis Hassabis
Koray Kavukcuoglu
Clément Farabet
Elena Buchatskaya
Sebastian Borgeaud
Noah Fiedel
Armand Joulin
Kathleen Kenealy
Robert Dadashi
Alek Andreev
In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2… (see more) billion to 27 billion parameters. In this new version, we apply several known technical modifications to the Transformer architecture, such as interleaving local-global attentions (Beltagy et al., 2020a) and group-query attention (Ainslie et al., 2023). We also train the 2B and 9B models with knowledge distillation (Hinton et al., 2015) instead of next token prediction. The resulting models deliver the best performance for their size, and even offer competitive alternatives to models that are 2-3 times bigger. We release all our models to the community.
2024-07-31
ArXiv (preprint)
doi.org
arxiv.org
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taiga
Francesco Visin
David Vázquez
Aaron Courville
Natural image modeling is a landmark challenge of unsupervised learning. Variational Autoencoders (VAEs) learn a useful latent representatio… (see more)n and model global structure well but have difficulty capturing small details. PixelCNN models details very well, but lacks a latent code and is difficult to scale for capturing large structures. We present PixelVAE, a VAE model with an autoregressive decoder based on PixelCNN. Our model requires very few expensive autoregressive layers compared to PixelCNN and learns latent codes that are more compressed than a standard VAE while still capturing most non-trivial structure. Finally, we extend our model to a hierarchy of latent variables at different scales. Our model achieves state-of-the-art performance on binarized MNIST, competitive performance on 64 × 64 ImageNet, and high-quality samples on the LSUN bedrooms dataset.
2017-01-01
ICLR.cc/2017/conference (poster)
openreview.net
openreview.net
Theano: A Python framework for fast computation of mathematical expressions
Rami Al-rfou'
Guillaume Alain
Amjad Almahairi
Christof Angermüller
Dzmitry Bahdanau
Nicolas Ballas
Frédéric Bastien
Justin S. Bayer
A. Belikov
A. Belopolsky
Yoshua Bengio
Arnaud Bergeron
J. Bergstra
Valentin Bisson
Josh Bleecher Snyder
Nicolas Bouchard
Nicolas Boulanger-Lewandowski
Xavier Bouthillier
Alexandre De Brébisson
Olivier Breuleux … (see 92 more)
Pierre Luc Carrier
Kyunghyun Cho
Jan Chorowski
Paul F. Christiano
Tim Cooijmans
Marc-Alexandre Côté
Myriam Côté
Aaron Courville
Yann Dauphin
Olivier Delalleau
Julien Demouth
Guillaume Desjardins
Sander Dieleman
Laurent Dinh
M'elanie Ducoffe
Vincent Dumoulin
Samira Ebrahimi Kahou
Dumitru Erhan
Ziye Fan
Orhan Firat
Mathieu Germain
Xavier Glorot
Ian J. Goodfellow
Matthew Graham
Caglar Gulçehre
Philippe Hamel
Iban Harlouchet
Jean-philippe Heng
Balázs Hidasi
Sina Honari
Arjun Jain
S'ebastien Jean
Kai Jia
Mikhail V. Korobov
Vivek Kulkarni
Alex Lamb
Pascal Lamblin
Eric P. Larsen
César Laurent
S. Lee
Simon-mark Lefrancois
Simon Lemieux
Nicholas Léonard
Zhouhan Lin
J. Livezey
Cory R. Lorenz
Jeremiah L. Lowin
Qianli M. Ma
Pierre-Antoine Manzagol
Olivier Mastropietro
R. McGibbon
Roland Memisevic
Bart Van Merriënboer
Vincent Michalski
Mehdi Mirza
Alberto Orlandi
Chris Pal
Razvan Pascanu
Mohammad Pezeshki
Colin Raffel
Daniel Renshaw
Matthew David Rocklin
Adriana Romero Soriano
Markus Dr. Roth
Peter Sadowski
John Salvatier
François Savard
Jan Schlüter
John D. Schulman
Gabriel Schwartz
Iulian V. Serban
Dmitriy Serdyuk
Samira Shabanian
Etienne Simon
Sigurd Spieckermann
S. Subramanyam
Jakub Sygnowski
Jeremie Tanguay
Gijs van Tulder
Joseph P. Turian
Sebastian Urban
Pascal Vincent
Francesco Visin
Harm de Vries
David Warde-Farley
Dustin J. Webb
M. Willson
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficie… (see more)ntly. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements. Theano is being actively and continuously developed since 2008, multiple frameworks have been built on top of it and it has been used to produce many state-of-the-art machine learning models. The present article is structured as follows. Section I provides an overview of the Theano software and its community. Section II presents the principal features of Theano and how to use them, and compares them with other similar projects. Section III focuses on recently-introduced functionalities and improvements. Section IV compares the performance of Theano against Torch7 and TensorFlow on several machine learning models. Section V discusses current limitations of Theano and potential ways of improving it.
2016-05-09
ArXiv (preprint)
arxiv.org
arxiv.org
Theano: A Python framework for fast computation of mathematical expressions
Rami Al-rfou'
Guillaume Alain
Amjad Almahairi
Christof Angermüller
Dzmitry Bahdanau
Nicolas Ballas
Frédéric Bastien
Justin S. Bayer
A. Belikov
A. Belopolsky
Yoshua Bengio
Arnaud Bergeron
James Bergstra
Valentin Bisson
Josh Bleecher Snyder
Nicolas Bouchard
Nicolas Boulanger-Lewandowski
Xavier Bouthillier
Alexandre De Brébisson
Olivier Breuleux … (see 92 more)
Pierre Luc Carrier
Kyunghyun Cho
Jan Chorowski
Paul F. Christiano
Tim Cooijmans
Marc-Alexandre Côté
Myriam Côté
Aaron Courville
Yann Dauphin
Olivier Delalleau
Julien Demouth
Guillaume Desjardins
Sander Dieleman
Laurent Dinh
M'elanie Ducoffe
Vincent Dumoulin
Samira Ebrahimi Kahou
Dumitru Erhan
Ziye Fan
Orhan Firat
Mathieu Germain
Xavier Glorot
Ian G Goodfellow
Matthew Graham
Caglar Gulçehre
Philippe Hamel
Iban Harlouchet
Jean-philippe Heng
Balázs Hidasi
Sina Honari
Arjun Jain
Sébastien Jean
Kai Jia
Mikhail V. Korobov
Vivek Kulkarni
Alex Lamb
Pascal Lamblin
Eric Larsen
César Laurent
S. Lee
Simon-mark Lefrancois
Simon Lemieux
Nicholas Léonard
Zhouhan Lin
J. Livezey
Cory R. Lorenz
Jeremiah L. Lowin
Qianli M. Ma
Pierre-Antoine Manzagol
Olivier Mastropietro
R. McGibbon
Roland Memisevic
Bart Van Merriënboer
Vincent Michalski
Mehdi Mirza
Alberto Orlandi
Chris Pal
Razvan Pascanu
Mohammad Pezeshki
Colin Raffel
Daniel Renshaw
Matthew David Rocklin
Adriana Romero Soriano
Markus Dr. Roth
Peter Sadowski
John Salvatier
François Savard
Jan Schlüter
John D. Schulman
Gabriel Schwartz
Iulian V. Serban
Dmitriy Serdyuk
Samira Shabanian
Etienne Simon
Sigurd Spieckermann
S. Subramanyam
Jakub Sygnowski
Jeremie Tanguay
Gijs van Tulder
Joseph Turian
Sebastian Urban
Pascal Vincent
Francesco Visin
Harm de Vries
David Warde-Farley
Dustin J. Webb
M. Willson
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficie… (see more)ntly. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements. Theano is being actively and continuously developed since 2008, multiple frameworks have been built on top of it and it has been used to produce many state-of-the-art machine learning models. The present article is structured as follows. Section I provides an overview of the Theano software and its community. Section II presents the principal features of Theano and how to use them, and compares them with other similar projects. Section III focuses on recently-introduced functionalities and improvements. Section IV compares the performance of Theano against Torch7 and TensorFlow on several machine learning models. Section V discusses current limitations of Theano and potential ways of improving it.
2016-05-09
ArXiv (preprint)
arxiv.org
arxiv.org