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Mohamed Ishmael Belghazi
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2020 – today
- 2021
- [i6]Mohamed Ishmael Belghazi, David Lopez-Paz:
What classifiers know what they don't? CoRR abs/2107.06217 (2021)
2010 – 2019
- 2019
- [c4]Mohamed Ishmael Belghazi, Maxime Oquab, David Lopez-Paz:
Learning about an exponential amount of conditional distributions. NeurIPS 2019: 13703-13714 - [i5]Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz:
Learning about an exponential amount of conditional distributions. CoRR abs/1902.08401 (2019) - 2018
- [c3]Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville:
Mutual Information Neural Estimation. ICML 2018: 530-539 - [i4]Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm, Aaron C. Courville:
MINE: Mutual Information Neural Estimation. CoRR abs/1801.04062 (2018) - [i3]Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville:
Hierarchical Adversarially Learned Inference. CoRR abs/1802.01071 (2018) - 2017
- [c2]Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville:
Adversarially Learned Inference. ICLR (Poster) 2017 - 2016
- [c1]Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic:
Conservativeness of Untied Auto-Encoders. AAAI 2016: 1694-1700 - [i2]Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville:
Adversarially Learned Inference. CoRR abs/1606.00704 (2016) - 2015
- [i1]Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic:
Conservativeness of untied auto-encoders. CoRR abs/1506.07643 (2015)
Coauthor Index
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