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Andreea Gane
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2020 – today
- 2021
- [c7]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - [c6]David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell:
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. KDD 2021: 2782-2791 - 2020
- [c5]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. ICML 2020: 324-334 - [i4]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. CoRR abs/2006.03227 (2020) - [i3]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020)
2010 – 2019
- 2019
- [b1]Andreea Gane:
Building generative models over discrete structures: from graphical models to deep learning. Massachusetts Institute of Technology, Cambridge, USA, 2019 - [c4]Guy Lorberbom, Tommi S. Jaakkola, Andreea Gane, Tamir Hazan:
Direct Optimization through arg max for Discrete Variational Auto-Encoder. NeurIPS 2019: 6200-6211 - 2018
- [c3]Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum:
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. UAI 2018: 988-997 - [i2]Guy Lorberbom, Andreea Gane, Tommi S. Jaakkola, Tamir Hazan:
Direct Optimization through arg max for Discrete Variational Auto-Encoder. CoRR abs/1806.02867 (2018) - [i1]Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum:
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. CoRR abs/1807.08919 (2018) - 2016
- [c2]Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston:
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. ICLR (Poster) 2016 - 2014
- [c1]Andreea Gane, Tamir Hazan, Tommi S. Jaakkola:
Learning with Maximum A-Posteriori Perturbation Models. AISTATS 2014: 247-256
Coauthor Index
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