| InterPro in 2022 T Paysan-Lafosse, M Blum, S Chuguransky, T Grego, BL Pinto, ... Nucleic acids research 51 (D1), D418-D427, 2023 | 805 | 2023 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 523 | 2023 |
| Sequential regulatory activity prediction across chromosomes with convolutional neural networks DR Kelley, YA Reshef, M Bileschi, D Belanger, CY McLean, J Snoek Genome research 28 (5), 739-750, 2018 | 402 | 2018 |
| Using deep learning to annotate the protein universe ML Bileschi, D Belanger, DH Bryant, T Sanderson, B Carter, D Sculley, ... Nature Biotechnology 40 (6), 932-937, 2022 | 230 | 2022 |
| MGnify: the microbiome sequence data analysis resource in 2023 L Richardson, B Allen, G Baldi, M Beracochea, ML Bileschi, T Burdett, ... Nucleic Acids Research 51 (D1), D753-D759, 2023 | 94 | 2023 |
| ProteInfer, deep neural networks for protein functional inference T Sanderson, ML Bileschi, D Belanger, LJ Colwell Elife 12, e80942, 2023 | 61 | 2023 |
| Weights of Boolean cubic monomial rotation symmetric functions ML Bileschi, TW Cusick, D Padgett Cryptography and Communications 4, 105-130, 2012 | 22 | 2012 |
| Beyond human data: Scaling self-training for problem-solving with language models A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ... arXiv preprint arXiv:2312.06585, 2023 | 20 | 2023 |
| Security analysis for fingerprint fuzzy vaults J Hartloff, M Bileschi, S Tulyakov, J Dobler, A Rudra, V Govindaraju Biometric and Surveillance Technology for Human and Activity Identification …, 2013 | 17 | 2013 |
| ProtNLM: model-based natural language protein annotation A Gane, ML Bileschi, D Dohan, E Speretta, A Héliou, ... Preprint at https://storage. googleapis. com/brain-genomics-public/research …, 2022 | 11 | 2022 |
| Critiquing protein family classification models using sufficient input subsets B Carter, M Bileschi, J Smith, T Sanderson, D Bryant, D Belanger, ... Journal of Computational Biology 27 (8), 1219-1231, 2020 | 10 | 2020 |
| 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 | 9 | 2021 |
| Using deep learning to annotate the protein universe. bioRxiv, 626507 ML Bileschi, D Belanger, D Bryant, T Sanderson, B Carter, D Sculley, ... DOI: https://doi. org/10.1101/626507, 2019 | 6 | 2019 |
| Deep uncertainty and the search for proteins Z Mariet, G Jerfel, Z Wang, C Angermüller, D Belanger, S Vora, M Bileschi, ... Workshop: Machine Learning for Molecules 196, 201, 2020 | 3 | 2020 |
| Frontier Language Models are not Robust to Adversarial Arithmetic, or" What do I need to say so you agree 2+ 2= 5? CD Freeman, L Culp, A Parisi, ML Bileschi, GF Elsayed, A Rizkowsky, ... arXiv preprint arXiv:2311.07587, 2023 | | 2023 |
| Predicting biological functions of proteins using dilated convolutional neural networks M Bileschi, L Colwell, T Sanderson, DB Belanger, JA Smith, D Bryant, ... US Patent App. 17/601,105, 2022 | | 2022 |
| Deep Learning Classifies the Protein Universe M Bileschi, D Belanger, D Bryant, D Sculley, L Colwell, T Sanderson, ... | | 2019 |
| Representation Learning for Seismic Hawkes Processes D Belanger, Y Ovadia, M Bileschi, B Meade | | 2018 |
| An exposition on new results in circuit lower bounds M Bileschi | | 2013 |
