Andreea Gane
Andreea Gane
Google DeepMind
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Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
International Conference on Learning Representations, 2020
Evaluating prerequisite qualities for learning end-to-end dialog systems
J Dodge, A Gane, X Zhang, A Bordes, S Chopra, AH Miller, A Szlam, ...
International Conference on Learning Representations, 2016
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2006.03555, 2020
The variational homoencoder: Learning to learn high capacity generative models from few examples
LB Hewitt, MI Nye, A Gane, T Jaakkola, JB Tenenbaum
Uncertainty in Artificial Intelligence, 2018
Population-Based Black-Box Optimization for Biological Sequence Design
C Angermueller, D Belanger, A Gane, Z Mariet, D Dohan, K Murphy, ...
International Conference on Machine Learning, 2020
Direct Optimization through for Discrete Variational Auto-Encoder
G Lorberbom, A Gane, T Jaakkola, T Hazan
Conference on Neural Information Processing Systems, 2018
Learning with maximum a-posteriori perturbation models
A Gane, T Hazan, T Jaakkola
Artificial Intelligence and Statistics, 247-256, 2014
ProtNLM: Model-based natural language protein annotation
A Gane, ML Bileschi, D Dohan, E Speretta, A Héliou, ...
Improving protein function annotation via unsupervised pre-training: Robustness, efficiency, and insights
D Dohan, A Gane, ML Bileschi, D Belanger, L Colwell
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
A Comparison of Generative Models for Sequence Design
A Gane, B Alipanahi, C Angermueller, D Belanger, D Dohan, L Colwell, ...
Machine Learning in Computational Biology (Workshop paper), 2019
ProtEx: A Retrieval-Augmented Approach for Protein Function Prediction
P Shaw, B Gurram, D Belanger, A Gane, ML Bileschi, LJ Colwell, ...
bioRxiv, 2024.05. 30.596539, 2024
Discovery of Highly Epistatic AAV Capsid Variants Through Machine-Guided Navigation of the Fitness Landscape
S Sinai, A Gane, N Jain, M Bileschi, D Bryant, A Bashir, G Church, ...
MOLECULAR THERAPY 30 (4), 429-429, 2022
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