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2020 – today
- 2023
[c12]Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky, David Lopez-Paz:
Why does Throwing Away Data Improve Worst-Group Error? ICML 2023: 4144-4188- 2022
- [c11]Badr Youbi Idrissi, Martín Arjovsky, Mohammad Pezeshki, David Lopez-Paz:
Simple data balancing achieves competitive worst-group-accuracy. CLeaR 2022: 336-351 - [i15]Martín Arjovsky, Kamalika Chaudhuri, David Lopez-Paz:
Throwing Away Data Improves Worst-Class Error in Imbalanced Classification. CoRR abs/2205.11672 (2022) - 2021
- [i14]Benjamin Aubin, Agnieszka Slowik
, Martín Arjovsky, Léon Bottou, David Lopez-Paz:
Linear unit-tests for invariance discovery. CoRR abs/2102.10867 (2021) - [i13]Martín Arjovsky:
Out of Distribution Generalization in Machine Learning. CoRR abs/2103.02667 (2021) - [i12]Badr Youbi Idrissi, Martín Arjovsky, Mohammad Pezeshki, David Lopez-Paz:
Simple data balancing achieves competitive worst-group-accuracy. CoRR abs/2110.14503 (2021) - 2020
- [b1]Martín Arjovsky:
Out of Distribution Generalization in Machine Learning. New York University, USA, 2020 - [c10]Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell:
Never Give Up: Learning Directed Exploration Strategies. ICLR 2020 - [c9]Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. ICLR 2020 - [c8]Sarah Jane Hong, Martín Arjovsky, Darryl Barnhart, Ian Thompson:
Low Distortion Block-Resampling with Spatially Stochastic Networks. NeurIPS 2020 - [i11]Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell:
Never Give Up: Learning Directed Exploration Strategies. CoRR abs/2002.06038 (2020) - [i10]Sarah Jane Hong, Martín Arjovsky, Ian Thompson, Darryl Barnhart:
Low Distortion Block-Resampling with Spatially Stochastic Networks. CoRR abs/2006.05394 (2020)
2010 – 2019
- 2019
- [i9]Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz:
Invariant Risk Minimization. CoRR abs/1907.02893 (2019) - [i8]Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. CoRR abs/1909.13334 (2019) - 2017
- [c7]Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab:
Geometrical Insights for Implicit Generative Modeling. Braverman Readings in Machine Learning 2017: 229-268 - [c6]Martín Arjovsky, Léon Bottou:
Towards Principled Methods for Training Generative Adversarial Networks. ICLR 2017 - [c5]Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville:
Adversarially Learned Inference. ICLR (Poster) 2017 - [c4]Martín Arjovsky, Soumith Chintala, Léon Bottou:
Wasserstein Generative Adversarial Networks. ICML 2017: 214-223 - [c3]Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville:
Improved Training of Wasserstein GANs. NIPS 2017: 5767-5777 - [i7]Martín Arjovsky, Léon Bottou:
Towards Principled Methods for Training Generative Adversarial Networks. CoRR abs/1701.04862 (2017) - [i6]Martín Arjovsky, Soumith Chintala, Léon Bottou:
Wasserstein GAN. CoRR abs/1701.07875 (2017) - [i5]Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville:
Improved Training of Wasserstein GANs. CoRR abs/1704.00028 (2017) - [i4]Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab:
Geometrical Insights for Implicit Generative Modeling. CoRR abs/1712.07822 (2017) - 2016
- [c2]Martín Arjovsky, Amar Shah, Yoshua Bengio:
Unitary Evolution Recurrent Neural Networks. ICML 2016: 1120-1128 - [c1]Michele Covell, Martín Arjovsky, Yao-Chung Lin, Anil C. Kokaram:
Optimizing Transcoder Quality Targets Using a Neural Network with an Embedded Bitrate Model. Visual Information Processing and Communication 2016: 1-7 - [i3]Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville:
Adversarially Learned Inference. CoRR abs/1606.00704 (2016) - 2015
- [i2]Martín Arjovsky:
Saddle-free Hessian-free optimization for Deep Learning. CoRR abs/1506.00059 (2015) - [i1]Martín Arjovsky, Amar Shah, Yoshua Bengio:
Unitary Evolution Recurrent Neural Networks. CoRR abs/1511.06464 (2015)
Coauthor Index
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