Search Results - Mathis, Simon

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  1. 1
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    Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein Design by Chen, Junhua, Mathis, Simon, Harris, Charles, Didi, Kieran, Lio, Pietro

    Published 2025
    Fuente: arXiv
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  2. 2
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    On the Expressive Power of Geometric Graph Neural Networks by Joshi, Chaitanya K., Bodnar, Cristian, Mathis, Simon V., Cohen, Taco, Liò, Pietro

    Published 2023
    Fuente: arXiv
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  3. 3
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    A framework for conditional diffusion modelling with applications in motif scaffolding for protein design by Didi, Kieran, Vargas, Francisco, Mathis, Simon V, Dutordoir, Vincent, Mathieu, Emile, Komorowska, Urszula J, Lio, Pietro

    Published 2023
    Fuente: arXiv
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  4. 4
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    Improving Antibody Design with Force-Guided Sampling in Diffusion Models by Kulytė, Paulina, Vargas, Francisco, Mathis, Simon Valentin, Wang, Yu Guang, Hernández-Lobato, José Miguel, Liò, Pietro

    Published 2024
    Fuente: arXiv
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  5. 5
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    gRNAde: Geometric Deep Learning for 3D RNA inverse design by Joshi, Chaitanya K., Jamasb, Arian R., Viñas, Ramon, Harris, Charles, Mathis, Simon V., Morehead, Alex, Anand, Rishabh, Liò, Pietro

    Published 2023
    Fuente: arXiv
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  6. 6
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    DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform by Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, Lio, Pietro

    Published 2024
    Fuente: arXiv
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  7. 7
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    A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems by Duval, Alexandre, Mathis, Simon V., Joshi, Chaitanya K., Schmidt, Victor, Miret, Santiago, Malliaros, Fragkiskos D., Cohen, Taco, Liò, Pietro, Bengio, Yoshua, Bronstein, Michael

    Published 2023
    Fuente: arXiv
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  8. 8
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    RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design by Anand, Rishabh, Joshi, Chaitanya K., Morehead, Alex, Jamasb, Arian R., Harris, Charles, Mathis, Simon V., Didi, Kieran, Ying, Rex, Hooi, Bryan, Liò, Pietro

    Published 2024
    Fuente: arXiv
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  9. 9
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    Evaluating representation learning on the protein structure universe by Jamasb, Arian R., Morehead, Alex, Joshi, Chaitanya K., Zhang, Zuobai, Didi, Kieran, Mathis, Simon V., Harris, Charles, Tang, Jian, Cheng, Jianlin, Lio, Pietro, Blundell, Tom L.

    Published 2024
    Fuente: arXiv
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  10. 10
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    Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design by Latent Labs Team, Bridgland, Alex, Crabbé, Jonathan, Kenlay, Henry, Pretorius, Daniella, Schmon, Sebastian M., Hilmkil, Agrin, Bartke-Croughan, Rebecca, Rombach, Robin, Flashman, Michael, Matteson, Tomas, Mathis, Simon, Nelson, Alexander W. R., Yuan, David, Obika, Annette, Kohl, Simon A. A.

    Published 2025
    Fuente: arXiv
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  11. 11
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    Drug-like antibodies with low immunogenicity in human panels designed with Latent-X2 by Latent Labs Team, Kenlay, Henry, Pretorius, Daniella, Crabbé, Jonathan, Bridgland, Alex, Schmon, Sebastian M., Hilmkil, Agrin, Vuckovic, James, Mathis, Simon, Matteson, Tomas, Bartke-Croughan, Rebecca, Motmaen, Amir, Rombach, Robin, Vlachynská, Mária, Nelson, Alexander W. R., Yuan, David, Obika, Annette, Kohl, Simon A. A.

    Published 2025
    Fuente: arXiv
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  12. 12
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    Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design by Latent Labs Team, Schmon, Sebastian M., Pretorius, Daniella, Mathis, Simon, Bartke-Croughan, Rebecca, Puvanendran, Aishaini, Vuckovic, James, Kenlay, Henry, Vlachynská, Mária, Bridgland, Alex, Grishin, Ivan, Over, Sven, Li, David, Li, Bridget, Crabbé, Jonathan, Hilmkil, Agrin, Nelson, Alexander W. R., Yuan, David, Obika, Annette, Kohl, Simon A. A.

    Published 2026
    Fuente: arXiv
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  13. 13
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    atomworks by Corley, Nathaniel, Mathis, Simon, Krishna, Rohith, Bauer, Magnus S., Thompson, Tuscan R., Ahern, Woody, Kazman, Maxwell W., Brent, Rafael I., Didi, Kieran, Kubaney, Andrew, McHugh, Liam, Nagle, Andrew, Favor, Adam, Kshirsagar, Meghana, Sturmfels, Pascal, Li, Yinuo, Butcher, John, Qiang, Bo, Schaaf, Luna L., Mitra, Ria, Campbell, Kerrie, Zhang, Opa, Weissman, Rose, Humphreys, Ian R., Cong, Qian, Jiang, Hanlun, Funk, Jason, Sonthalia, Satyaki, Lio, Pietro, Baker, David, DiMaio, Frank

    Published 2025
    Fuente: Zenodo
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  14. 14
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    Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems by Zhang, Xuan, Wang, Limei, Helwig, Jacob, Luo, Youzhi, Fu, Cong, Xie, Yaochen, Liu, Meng, Lin, Yuchao, Xu, Zhao, Yan, Keqiang, Adams, Keir, Weiler, Maurice, Li, Xiner, Fu, Tianfan, Wang, Yucheng, Strasser, Alex, Yu, Haiyang, Xie, YuQing, Fu, Xiang, Xu, Shenglong, Liu, Yi, Du, Yuanqi, Saxton, Alexandra, Ling, Hongyi, Lawrence, Hannah, Stärk, Hannes, Gui, Shurui, Edwards, Carl, Gao, Nicholas, Ladera, Adriana, Wu, Tailin, Hofgard, Elyssa F., Tehrani, Aria Mansouri, Wang, Rui, Daigavane, Ameya, Bohde, Montgomery, Kurtin, Jerry, Huang, Qian, Phung, Tuong, Xu, Minkai, Joshi, Chaitanya K., Mathis, Simon V., Azizzadenesheli, Kamyar, Fang, Ada, Aspuru-Guzik, Alán, Bekkers, Erik, Bronstein, Michael, Zitnik, Marinka, Anandkumar, Anima, Ermon, Stefano, Liò, Pietro, Yu, Rose, Günnemann, Stephan, Leskovec, Jure, Ji, Heng, Sun, Jimeng, Barzilay, Regina, Jaakkola, Tommi, Coley, Connor W., Qian, Xiaoning, Qian, Xiaofeng, Smidt, Tess, Ji, Shuiwang

    Published 2023
    Fuente: arXiv
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