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9 Publications
2026 |
Accepted |
Conference Paper |
IST-REx-ID: 21949 |
Shor, T., Freiman, M., Baskin, C., & Bronstein, A. M. (n.d.). T1-PILOT: Physics-informed learned optimized trajectories for T1 mapping acceleration. In Medical Imaging with Deep Learning (Vol. 315, pp. 1969–1982). Taipei, Taiwan: ML Research Press.
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2026 |
Epub ahead of print |
Journal Article |
IST-REx-ID: 22268 |
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Maddipatla, S. A., Sellam, N. E., Bojan, M. I., Masalitin, V., Vedula, S., Schanda, P., … Bronstein, A. M. (2026). Experiment-guided AlphaFold3 resolves measurement-consistent protein ensembles. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-026-03166-5
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| PubMed | Europe PMC
2026 |
Published |
Conference Paper |
IST-REx-ID: 22722 |
Bojan, M. I., Vedula, S., Maddipatla, S. A., Sellam, N. E., Rzayev, A., Napoli, F., … Bronstein, A. M. (2026). Representing local protein environments with machine learning force fields. In 14th International Conference on Learning Representations (Vol. 2026, pp. 100760–100799). Rio de Janeiro, Brazil.
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 21246 |
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Kamai, I., Bronstein, A. M., & Perets, H. B. (2025). Machine Learning inference of stellar properties using integrated photometric and spectroscopic data. The Astrophysical Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ae0cbc
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 21327 |
Maddipatla, S. A., Sellam, N. E., Bojan, M. I., Vedula, S., Schanda, P., Marx, A., & Bronstein, A. M. (2025). Inverse problems with experiment-guided AlphaFold. In Proceedings of the 42nd International Conference on Machine Learning (Vol. 267, pp. 42366–42393). Vancouver, Canada: ML Research Press.
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 20100 |
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Vedula, S., Bronstein, A. M., & Marx, A. (2025). Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment. Computational and Structural Biotechnology Journal. Elsevier. https://doi.org/10.1016/j.csbj.2025.07.039
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| WoS
2025 |
Research Data Reference |
IST-REx-ID: 20103 |
Vedula, S., Bronstein, A. M., & Marx, A. (2025). Replication Data for: “Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment.” Harvard Dataverse. https://doi.org/10.7910/DVN/DYEBVM
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2025 |
Published |
Conference Paper |
IST-REx-ID: 20707 |
Gahtan, B., Vedula, S., Samuelly Leichtag, G., Kodesh, E., & Bronstein, A. M. (2025). From lab to wrist: Bridging metabolic monitoring and consumer wearables for heart rate and oxygen consumption modeling. In Proceedings of the 27th International Conference on Multimodal Interaction (pp. 60–77). Canberra, Australia: Association for Computing Machinery. https://doi.org/10.1145/3716553.3750815
[Published Version]
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 19595 |
Davidson, Y., Philipp, A., Chakraborty, S., Bronstein, A. M., & Gershoni-Poranne, R. (2025). How local is “local”? Deep learning reveals locality of the induced magnetic field of polycyclic aromatic hydrocarbons. Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0257558
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| PubMed | Europe PMC