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6 Publications
2025 |
Published |
Journal Article |
IST-REx-ID: 20100 |
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Vedula, Sanketh, Alex M. Bronstein, and Ailie Marx. “Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment.” Computational and Structural Biotechnology Journal. Elsevier, 2025. https://doi.org/10.1016/j.csbj.2025.07.039.
[Published Version]
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| WoS
2025 |
Research Data Reference |
IST-REx-ID: 20103 |
Vedula, Sanketh, Alex M. Bronstein, and Ailie Marx. “Replication Data for: ‘Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment.’” Harvard Dataverse, 2025. https://doi.org/10.7910/DVN/DYEBVM.
[Published Version]
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2025 |
Published |
Conference Paper |
IST-REx-ID: 20707 |
Gahtan, Barak, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, and Alex M. Bronstein. “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, 60–77. Association for Computing Machinery, 2025. https://doi.org/10.1145/3716553.3750815.
[Published Version]
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 19595 |
Davidson, Yair, Aviad Philipp, Sabyasachi Chakraborty, Alex M. Bronstein, and Renana Gershoni-Poranne. “How Local Is ‘Local’? Deep Learning Reveals Locality of the Induced Magnetic Field of Polycyclic Aromatic Hydrocarbons.” Journal of Chemical Physics. AIP Publishing, 2025. https://doi.org/10.1063/5.0257558.
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| PubMed | Europe PMC
2025 |
Published |
Journal Article |
IST-REx-ID: 21246 |
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Kamai, Ilay, Alex M. Bronstein, and Hagai B. Perets. “Machine Learning Inference of Stellar Properties Using Integrated Photometric and Spectroscopic Data.” The Astrophysical Journal. IOP Publishing, 2025. https://doi.org/10.3847/1538-4357/ae0cbc.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 21327 |
Maddipatla, Sai A, Nadav E Sellam, Meital I Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, and Alex M. Bronstein. “Inverse Problems with Experiment-Guided AlphaFold.” In Proceedings of the 42nd International Conference on Machine Learning, 267:42366–93. ML Research Press, 2025.
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| arXiv