Learning with Maximum A-Posteriori Perturbation Models. - Andreea Gane; Tamir Hazan; Tommi S. Jaakkola (AISTATS, 2014)

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. - Jesse Dodge; Andreea Gane; Xiang Zhang 013; Antoine Bordes; Sumit Chopra; Alexander H. Miller; Arthur Szlam; Jason Weston (ICLR (Poster), 2016)

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 (UAI, 2018)

Direct Optimization through arg max for Discrete Variational Auto-Encoder. - Guy Lorberbom; Tommi S. Jaakkola; Andreea Gane; Tamir Hazan (NeurIPS, 2019)

Building generative models over discrete structures: from graphical models to deep learning. - Andreea Gane (2019)

Population-Based Black-Box Optimization for Biological Sequence Design. - Christof Angermüller; David Belanger 002; Andreea Gane; Zelda Mariet; David Dohan; Kevin Murphy 002; Lucy J. Colwell; D. Sculley (ICML, 2020)

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; et al. (ICLR, 2021)

Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. - David Dohan; Andreea Gane; Maxwell L. Bileschi; David Belanger 002; Lucy J. Colwell (KDD, 2021)