Andreea Gane

According to our database, Andreea Gane authored at least 8 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights.

David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Rethinking Attention with Performers.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Population-Based Black-Box Optimization for Biological Sequence Design.

Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Building generative models over discrete structures: from graphical models to deep learning.

Andreea Gane

PhD thesis, 2019

Direct Optimization through arg max for Discrete Variational Auto-Encoder.

Guy Lorberbom, Tommi S. Jaakkola, Andreea Gane, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Variational Homoencoder: Learning to learn high capacity generative models from few examples.

Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2016

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.

Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston

Proceedings of the 4th International Conference on Learning Representations, 2016

2014

Learning with Maximum A-Posteriori Perturbation Models.

Andreea Gane, Tamir Hazan, Tommi S. Jaakkola

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014