Martín Arjovsky

28 papers A* 6Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2023 A* conf
Why does Throwing Away Data Improve Worst-Group Error?
ICML
Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky, David Lopez-Paz
2022 — conf
Simple data balancing achieves competitive worst-group-accuracy.
CLeaR
Badr Youbi Idrissi, Martín Arjovsky, Mohammad Pezeshki, David Lopez-Paz
2022 J jnl
Throwing Away Data Improves Worst-Class Error in Imbalanced Classification.
CoRR
Martín Arjovsky, Kamalika Chaudhuri, David Lopez-Paz
2021 J jnl
Linear unit-tests for invariance discovery.
CoRR
Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz
2021 J jnl
Out of Distribution Generalization in Machine Learning.
CoRR
Martín Arjovsky
2021 J jnl
Simple data balancing achieves competitive worst-group-accuracy.
CoRR
Badr Youbi Idrissi, Martín Arjovsky, Mohammad Pezeshki, David Lopez-Paz
2020 A* conf
Low Distortion Block-Resampling with Spatially Stochastic Networks.
NeurIPS
Sarah Jane Hong, Martín Arjovsky, Darryl Barnhart, Ian Thompson
2020 J jnl
Low Distortion Block-Resampling with Spatially Stochastic Networks.
CoRR
Sarah Jane Hong, Martín Arjovsky, Ian Thompson, Darryl Barnhart
2020 A* conf
Never Give Up: Learning Directed Exploration Strategies.
ICLR
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
2020 J jnl
Never Give Up: Learning Directed Exploration Strategies.
CoRR
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
2020 — —
Out of Distribution Generalization in Machine Learning.
Martín Arjovsky
2020 A* conf
Symplectic Recurrent Neural Networks.
ICLR
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
2019 J jnl
Invariant Risk Minimization.
CoRR
Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz
2019 J jnl
Symplectic Recurrent Neural Networks.
CoRR
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
2017 — conf
Adversarially Learned Inference.
ICLR (Poster)
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
2017 — conf
Geometrical Insights for Implicit Generative Modeling.
Braverman Readings in Machine Learning
Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
2017 J jnl
Geometrical Insights for Implicit Generative Modeling.
CoRR
Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
2017 — conf
Improved Training of Wasserstein GANs.
NIPS
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
2017 J jnl
Improved Training of Wasserstein GANs.
CoRR
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
2017 — conf
Towards Principled Methods for Training Generative Adversarial Networks.
ICLR
Martín Arjovsky, Léon Bottou
2017 J jnl
Towards Principled Methods for Training Generative Adversarial Networks.
CoRR
Martín Arjovsky, Léon Bottou
2017 J jnl
Wasserstein GAN.
CoRR
Martín Arjovsky, Soumith Chintala, Léon Bottou
2017 A* conf
Wasserstein Generative Adversarial Networks.
ICML
Martín Arjovsky, Soumith Chintala, Léon Bottou
2016 J jnl
Adversarially Learned Inference.
CoRR
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
2016 — conf
Optimizing Transcoder Quality Targets Using a Neural Network with an Embedded Bitrate Model.
Visual Information Processing and Communication
Michele Covell, Martín Arjovsky, Yao-Chung Lin, Anil C. Kokaram
2016 A* conf
Unitary Evolution Recurrent Neural Networks.
ICML
Martín Arjovsky, Amar Shah, Yoshua Bengio
2015 J jnl
Saddle-free Hessian-free optimization for Deep Learning.
CoRR
Martín Arjovsky
2015 J jnl
Unitary Evolution Recurrent Neural Networks.
CoRR
Martín Arjovsky, Amar Shah, Yoshua Bengio