Arjovsky, Martin

10 publications

ICML 2023 Why Does Throwing Away Data Improve Worst-Group Error? Kamalika Chaudhuri, Kartik Ahuja, Martin Arjovsky, David Lopez-Paz

CLeaR 2022 Simple Data Balancing Achieves Competitive Worst-Group-Accuracy Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki, David Lopez-Paz

NeurIPS 2020 Low Distortion Block-Resampling with Spatially Stochastic Networks Sarah Hong, Martin Arjovsky, Darryl Barnhart, Ian Thompson

ICLR 2020 Never Give up: Learning Directed Exploration Strategies Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

ICLR 2020 Symplectic Recurrent Neural Networks Zhengdao Chen, Jianyu Zhang, Martin Arjovsky, Léon Bottou

ICLR 2017 Adversarially Learned Inference Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville

NeurIPS 2017 Improved Training of Wasserstein GANs Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, Aaron C. Courville

ICLR 2017 Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky, Léon Bottou

ICML 2017 Wasserstein Generative Adversarial Networks Martin Arjovsky, Soumith Chintala, Léon Bottou

ICML 2016 Unitary Evolution Recurrent Neural Networks Martin Arjovsky, Amar Shah, Yoshua Bengio