Search Results - Geiger, Mario

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  1. 1
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    Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data Autoría: Diaz, Ivan, Geiger, Mario, McKinley, Richard Iain

    Published 2023
    Fuente: arXiv
    Tipo de material: Preprint
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  2. 2
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    Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation Autoría: Daigavane, Ameya, Kim, Song, Geiger, Mario, Smidt, Tess

    Published 2023
    Fuente: arXiv
    Tipo de material: Preprint
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  3. 3
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    Phonon predictions with E(3)-equivariant graph neural networks Autoría: Fang, Shiang, Geiger, Mario, Checkelsky, Joseph G., Smidt, Tess

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  4. 4
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    Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow Autoría: Cao, Zhonglin, Geiger, Mario, Costa, Allan dos Santos, Reidenbach, Danny, Kreis, Karsten, Geffner, Tomas, Pellegrini, Franco, Zhou, Guoqing, Kucukbenli, Emine

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  5. 5
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    EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants Autoría: Costa, Allan dos Santos, Mitnikov, Ilan, Pellegrini, Franco, Daigavane, Ameya, Geiger, Mario, Cao, Zhonglin, Kreis, Karsten, Smidt, Tess, Kucukbenli, Emine, Jacobson, Joseph

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  6. 6
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    Proteina: Scaling Flow-based Protein Structure Generative Models Autoría: Geffner, Tomas, Didi, Kieran, Zhang, Zuobai, Reidenbach, Danny, Cao, Zhonglin, Yim, Jason, Geiger, Mario, Dallago, Christian, Kucukbenli, Emine, Vahdat, Arash, Kreis, Karsten

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  7. 7
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    Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE Autoría: Firoz, Jesun, Pellegrini, Franco, Geiger, Mario, Hsu, Darren, Bilbrey, Jenna A., Chou, Han-Yi, Stadler, Maximilian, Hoehnerbach, Markus, Wang, Tingyu, Lin, Dejun, Kucukbenli, Emine, Sprueill, Henry W., Batatia, Ilyes, Xantheas, Sotiris S., Lee, MalSoon, Mundy, Chris, Csanyi, Gabor, Smith, Justin S., Sadayappan, Ponnuswamy, Choudhury, Sutanay

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  8. 8
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    BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery Autoría: John, Peter St., Lin, Dejun, Binder, Polina, Greaves, Malcolm, Shah, Vega, John, John St., Lange, Adrian, Hsu, Patrick, Illango, Rajesh, Ramanathan, Arvind, Anandkumar, Anima, Brookes, David H, Busia, Akosua, Mahajan, Abhishaike, Malina, Stephen, Prasad, Neha, Sinai, Sam, Edwards, Lindsay, Gaudelet, Thomas, Regep, Cristian, Steinegger, Martin, Rost, Burkhard, Brace, Alexander, Hippe, Kyle, Naef, Luca, Kamata, Keisuke, Armstrong, George, Boyd, Kevin, Cao, Zhonglin, Chou, Han-Yi, Chu, Simon, Costa, Allan dos Santos, Darabi, Sajad, Dawson, Eric, Didi, Kieran, Fu, Cong, Geiger, Mario, Gill, Michelle, Hsu, Darren J, Kaushik, Gagan, Korshunova, Maria, Kothen-Hill, Steven, Lee, Youhan, Liu, Meng, Livne, Micha, McClure, Zachary, Mitchell, Jonathan, Moradzadeh, Alireza, Mosafi, Ohad, Nashed, Youssef, Paliwal, Saee, Peng, Yuxing, Rabhi, Sara, Ramezanghorbani, Farhad, Reidenbach, Danny, Ricketts, Camir, Roland, Brian C, Shah, Kushal, Shimko, Tyler, Sirelkhatim, Hassan, Srinivasan, Savitha, Stern, Abraham C, Toczydlowska, Dorota, Veccham, Srimukh Prasad, Venanzi, Niccolò Alberto Elia, Vorontsov, Anton, Wilber, Jared, Wilkinson, Isabel, Wong, Wei Jing, Xue, Eva, Ye, Cory, Yu, Xin, Zhang, Yang, Zhou, Guoqing, Zandstein, Becca, Chacon, Alejandro, Sohani, Prashant, Stadler, Maximilian, Hundt, Christian, Zhu, Feiwen, Dallago, Christian, Trentini, Bruno, Kucukbenli, Emine, Paliwal, Saee, Rvachov, Timur, Calleja, Eddie, Israeli, Johnny, Clifford, Harry, Haukioja, Risto, Haemel, Nicholas, Tretina, Kyle, Tadimeti, Neha, Costa, Anthony B

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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