Risultati della ricerca - Mathis, Simon
- Mostra 1 - 14 risultati su 14
-
1
Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein Design di Chen, Junhua, Mathis, Simon, Harris, Charles, Didi, Kieran, Lio, Pietro
Pubblicazione 2025Fuente: arXivPreprintAcceso al recurso -
2
On the Expressive Power of Geometric Graph Neural Networks di Joshi, Chaitanya K., Bodnar, Cristian, Mathis, Simon V., Cohen, Taco, Liò, Pietro
Pubblicazione 2023Fuente: arXivPreprintAcceso al recurso -
3
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design di Didi, Kieran, Vargas, Francisco, Mathis, Simon V, Dutordoir, Vincent, Mathieu, Emile, Komorowska, Urszula J, Lio, Pietro
Pubblicazione 2023Fuente: arXivPreprintAcceso al recurso -
4
Improving Antibody Design with Force-Guided Sampling in Diffusion Models di Kulytė, Paulina, Vargas, Francisco, Mathis, Simon Valentin, Wang, Yu Guang, Hernández-Lobato, José Miguel, Liò, Pietro
Pubblicazione 2024Fuente: arXivPreprintAcceso al recurso -
5
gRNAde: Geometric Deep Learning for 3D RNA inverse design di Joshi, Chaitanya K., Jamasb, Arian R., Viñas, Ramon, Harris, Charles, Mathis, Simon V., Morehead, Alex, Anand, Rishabh, Liò, Pietro
Pubblicazione 2023Fuente: arXivPreprintAcceso al recurso -
6
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform di Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, Lio, Pietro
Pubblicazione 2024Fuente: arXivPreprintAcceso al recurso -
7
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems di Duval, Alexandre, Mathis, Simon V., Joshi, Chaitanya K., Schmidt, Victor, Miret, Santiago, Malliaros, Fragkiskos D., Cohen, Taco, Liò, Pietro, Bengio, Yoshua, Bronstein, Michael
Pubblicazione 2023Fuente: arXivPreprintAcceso al recurso -
8
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design di Anand, Rishabh, Joshi, Chaitanya K., Morehead, Alex, Jamasb, Arian R., Harris, Charles, Mathis, Simon V., Didi, Kieran, Ying, Rex, Hooi, Bryan, Liò, Pietro
Pubblicazione 2024Fuente: arXivPreprintAcceso al recurso -
9
Evaluating representation learning on the protein structure universe di 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.
Pubblicazione 2024Fuente: arXivPreprintAcceso al recurso -
10
Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design di 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.
Pubblicazione 2025Fuente: arXivPreprintAcceso al recurso -
11
Drug-like antibodies with low immunogenicity in human panels designed with Latent-X2 di 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.
Pubblicazione 2025Fuente: arXivPreprintAcceso al recurso -
12
Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design di 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.
Pubblicazione 2026Fuente: arXivPreprintAcceso al recurso -
13
atomworks di 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
Pubblicazione 2025Fuente: ZenodoRecurso digitalAcceso al recurso -
14
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems di 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
Pubblicazione 2023Fuente: arXivPreprintAcceso al recurso