Resultados de búsqueda - Mathis, Simon
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1
Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein Design por Chen, Junhua, Mathis, Simon, Harris, Charles, Didi, Kieran, Lio, Pietro
Publicado 2025Fuente: arXivPreprintAcceso al recurso -
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On the Expressive Power of Geometric Graph Neural Networks por Joshi, Chaitanya K., Bodnar, Cristian, Mathis, Simon V., Cohen, Taco, Liò, Pietro
Publicado 2023Fuente: arXivPreprintAcceso al recurso -
3
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design por Didi, Kieran, Vargas, Francisco, Mathis, Simon V, Dutordoir, Vincent, Mathieu, Emile, Komorowska, Urszula J, Lio, Pietro
Publicado 2023Fuente: arXivPreprintAcceso al recurso -
4
Improving Antibody Design with Force-Guided Sampling in Diffusion Models por Kulytė, Paulina, Vargas, Francisco, Mathis, Simon Valentin, Wang, Yu Guang, Hernández-Lobato, José Miguel, Liò, Pietro
Publicado 2024Fuente: arXivPreprintAcceso al recurso -
5
gRNAde: Geometric Deep Learning for 3D RNA inverse design por Joshi, Chaitanya K., Jamasb, Arian R., Viñas, Ramon, Harris, Charles, Mathis, Simon V., Morehead, Alex, Anand, Rishabh, Liò, Pietro
Publicado 2023Fuente: arXivPreprintAcceso al recurso -
6
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform por Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, Lio, Pietro
Publicado 2024Fuente: arXivPreprintAcceso al recurso -
7
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems por Duval, Alexandre, Mathis, Simon V., Joshi, Chaitanya K., Schmidt, Victor, Miret, Santiago, Malliaros, Fragkiskos D., Cohen, Taco, Liò, Pietro, Bengio, Yoshua, Bronstein, Michael
Publicado 2023Fuente: arXivPreprintAcceso al recurso -
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RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design por Anand, Rishabh, Joshi, Chaitanya K., Morehead, Alex, Jamasb, Arian R., Harris, Charles, Mathis, Simon V., Didi, Kieran, Ying, Rex, Hooi, Bryan, Liò, Pietro
Publicado 2024Fuente: arXivPreprintAcceso al recurso -
9
Evaluating representation learning on the protein structure universe por 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.
Publicado 2024Fuente: arXivPreprintAcceso al recurso -
10
Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design por 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.
Publicado 2025Fuente: arXivPreprintAcceso al recurso -
11
Drug-like antibodies with low immunogenicity in human panels designed with Latent-X2 por 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.
Publicado 2025Fuente: arXivPreprintAcceso al recurso -
12
Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design por 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.
Publicado 2026Fuente: arXivPreprintAcceso al recurso -
13
atomworks por 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
Publicado 2025Fuente: ZenodoRecurso digitalAcceso al recurso -
14
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems por 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
Publicado 2023Fuente: arXivPreprintAcceso al recurso