| Rethinking attention with performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... International Conference on Learning Representations, 2020 | 1580 | 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 | 227 | 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 | 92 | 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 | 75 | 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 | 57 | 2020 |
| Direct Optimization through for Discrete Variational Auto-Encoder G Lorberbom, A Gane, T Jaakkola, T Hazan Conference on Neural Information Processing Systems, 2018 | 44 | 2018 |
| Learning with maximum a-posteriori perturbation models A Gane, T Hazan, T Jaakkola Artificial Intelligence and Statistics, 247-256, 2014 | 33 | 2014 |
| ProtNLM: Model-based natural language protein annotation A Gane, ML Bileschi, D Dohan, E Speretta, A Héliou, ... | 15 | 2022 |
| 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 | 12 | 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 | 3 | 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 | | 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 | | 2022 |
