Suchergebnisse - Mathis, Simon
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Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein Design von Chen, Junhua, Mathis, Simon, Harris, Charles, Didi, Kieran, Lio, Pietro
Veröffentlicht 2025Fuente: arXivPreprintAcceso al recurso -
2
On the Expressive Power of Geometric Graph Neural Networks von Joshi, Chaitanya K., Bodnar, Cristian, Mathis, Simon V., Cohen, Taco, Liò, Pietro
Veröffentlicht 2023Fuente: arXivPreprintAcceso al recurso -
3
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design von Didi, Kieran, Vargas, Francisco, Mathis, Simon V, Dutordoir, Vincent, Mathieu, Emile, Komorowska, Urszula J, Lio, Pietro
Veröffentlicht 2023Fuente: arXivPreprintAcceso al recurso -
4
Improving Antibody Design with Force-Guided Sampling in Diffusion Models von Kulytė, Paulina, Vargas, Francisco, Mathis, Simon Valentin, Wang, Yu Guang, Hernández-Lobato, José Miguel, Liò, Pietro
Veröffentlicht 2024Fuente: arXivPreprintAcceso al recurso -
5
gRNAde: Geometric Deep Learning for 3D RNA inverse design von Joshi, Chaitanya K., Jamasb, Arian R., Viñas, Ramon, Harris, Charles, Mathis, Simon V., Morehead, Alex, Anand, Rishabh, Liò, Pietro
Veröffentlicht 2023Fuente: arXivPreprintAcceso al recurso -
6
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform von Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, Lio, Pietro
Veröffentlicht 2024Fuente: arXivPreprintAcceso al recurso -
7
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems von Duval, Alexandre, Mathis, Simon V., Joshi, Chaitanya K., Schmidt, Victor, Miret, Santiago, Malliaros, Fragkiskos D., Cohen, Taco, Liò, Pietro, Bengio, Yoshua, Bronstein, Michael
Veröffentlicht 2023Fuente: arXivPreprintAcceso al recurso -
8
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design von Anand, Rishabh, Joshi, Chaitanya K., Morehead, Alex, Jamasb, Arian R., Harris, Charles, Mathis, Simon V., Didi, Kieran, Ying, Rex, Hooi, Bryan, Liò, Pietro
Veröffentlicht 2024Fuente: arXivPreprintAcceso al recurso -
9
Evaluating representation learning on the protein structure universe von 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.
Veröffentlicht 2024Fuente: arXivPreprintAcceso al recurso -
10
Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design von 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.
Veröffentlicht 2025Fuente: arXivPreprintAcceso al recurso -
11
Drug-like antibodies with low immunogenicity in human panels designed with Latent-X2 von 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.
Veröffentlicht 2025Fuente: arXivPreprintAcceso al recurso -
12
Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design von 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.
Veröffentlicht 2026Fuente: arXivPreprintAcceso al recurso -
13
atomworks von 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
Veröffentlicht 2025Fuente: ZenodoRecurso digitalAcceso al recurso -
14
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems von 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
Veröffentlicht 2023Fuente: arXivPreprintAcceso al recurso