| Structured Pruning of Large Language Models Z Wang, J Wohlwend, T Lei arXiv preprint arXiv:1910.04732, 2019 | 276 | 2019 |
| Iterative refinement graph neural network for antibody sequence-structure co-design W Jin, J Wohlwend, R Barzilay, T Jaakkola arXiv preprint arXiv:2110.04624, 2021 | 130 | 2021 |
| Sybil: A validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography PG Mikhael, J Wohlwend, A Yala, L Karstens, J Xiang, AK Takigami, ... Journal of Clinical Oncology 41 (12), 2191-2200, 2023 | 122 | 2023 |
| ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition J Pan, J Shapiro, J Wohlwend, KJ Han, T Lei, T Ma arXiv preprint arXiv:2005.10469, 2020 | 37 | 2020 |
| Annotating metabolite mass spectra with domain-inspired chemical formula transformers S Goldman, J Wohlwend, M Stražar, G Haroush, RJ Xavier, CW Coley Nature Machine Intelligence 5 (9), 965-979, 2023 | 31 | 2023 |
| Autoregressive Knowledge Distillation through Imitation Learning A Lin, J Wohlwend, H Chen, T Lei arXiv preprint arXiv:2009.07253, 2020 | 30 | 2020 |
| Feasibility of 3D reconstruction of neural morphology using expansion microscopy and barcode-guided agglomeration YG Yoon, P Dai, J Wohlwend, JB Chang, AH Marblestone, ES Boyden Frontiers in computational neuroscience 11, 299672, 2017 | 26 | 2017 |
| Intent discovery with a prototype classifier JEA Wohlwend, ER Elenberg, SA Altschul, M Griffiths US Patent 11,551,004, 2023 | 22 | 2023 |
| Elliptic curve cryptography: Pre and post quantum J Wohlwend Technical report, 2016 | 22 | 2016 |
| Processing communications using a prototype classifier JEA Wohlwend US Patent 10,747,957, 2020 | 19 | 2020 |
| Metric Learning for Dynamic Text Classification J Wohlwend, ER Elenberg, S Altschul, S Henry, T Lei arXiv preprint arXiv:1911.01026, 2019 | 14 | 2019 |
| Building a Production Model for Retrieval-Based Chatbots K Swanson, L Yu, C Fox, J Wohlwend, T Lei arXiv preprint arXiv:1906.03209, 2019 | 13 | 2019 |
| Artificial intelligence and machine learning in lung cancer screening SJ Adams, P Mikhael, J Wohlwend, R Barzilay, LV Sequist, FJ Fintelmann Thoracic Surgery Clinics 33 (4), 401-409, 2023 | 12 | 2023 |
| Flambé: A Customizable Framework for Machine Learning Experiments J Wohlwend, N Matthews, I Itzcovich Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 2 | 2019 |
| Body-form and body-pose recognition with a hierarchical model of the ventral stream H Kim, J Wohlwend, JZ Leibo, T Poggio | 2 | 2013 |
| Boltz-1: Democratizing Biomolecular Interaction Modeling J Wohlwend, G Corso, S Passaro, M Reveiz, K Leidal, W Swiderski, ... bioRxiv, 2024.11. 19.624167, 2024 | 1 | 2024 |
| VaxSeer: Selecting influenza vaccines through evolutionary and antigenicity models W Shi, J Wohlwend, M Wu, R Barzilay bioRxiv, 2023.11. 14.567037, 2023 | | 2023 |
| Improving influenza A vaccine strain selection through deep evolutionary models W Shi, J Wohlwend, M Wu, R Barzilay bioRxiv, 2023.11. 14.567037, 2023 | | 2023 |
| Enabling scalable multicolor connectomics through expansion microscopy J Wohlwend Massachusetts Institute of Technology, 2017 | | 2017 |
