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