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2020 – today
- 2022
[i8]Moksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio:
Biological Sequence Design with GFlowNets. CoRR abs/2203.04115 (2022)- 2021
- [i7]Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio:
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. CoRR abs/2110.02871 (2021) - 2020
- [i6]Alex Hernández-García:
Rethinking supervised learning: insights from biological learning and from calling it by its name. CoRR abs/2012.02526 (2020) - [i5]Alex Hernández-García:
Data augmentation and image understanding. CoRR abs/2012.14185 (2020)
2010 – 2019
- 2019
- [c3]Alex Hernández-García, Peter König:
Learning Representational Invariance Instead of Categorization. ICCV Workshops 2019: 4587-4590 - [i4]Alex Hernández-García
, Peter König, Tim C. Kietzmann:
Learning robust visual representations using data augmentation invariance. CoRR abs/1906.04547 (2019) - [i3]Alex Hernández-García, Peter König:
Further advantages of data augmentation on convolutional neural networks. CoRR abs/1906.11052 (2019) - 2018
- [c2]Alex Hernández-García, Peter König:
Further Advantages of Data Augmentation on Convolutional Neural Networks. ICANN (1) 2018: 95-103 - [i2]Alex Hernández-García, Peter König:
Do deep nets really need weight decay and dropout? CoRR abs/1802.07042 (2018) - [i1]Alex Hernández-García, Peter König:
Data augmentation instead of explicit regularization. CoRR abs/1806.03852 (2018) - 2017
- [c1]Alex Hernández-García:
Perceived emotion from images through deep neural networks. ACII 2017: 566-570
Coauthor Index
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