Flow-based sampling for fermionic lattice field theories von Albergo, Michael S., Kanwar, Gurtej, Racaniere, Sebastien, Rezende, Danilo J., Urban, Julian M., Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C., Shanahan, Phiala E.

Volltext

Building machines that learn and think for themselves von Botvinick, Matthew, Barrett, David G. T., Battaglia, Peter, de Freitas, Nando, Kumaran, Darshan, Leibo, Joel Z, Lillicrap, Timothy, Modayil, Joseph, Mohamed, Shakir, Rabinowitz, Neil C., Rezende, Danilo J., Santoro, Adam, Schaul, Tom, Summerfield, Christopher, Wayne, Greg, Weber, Theophane, Wierstra, Daan, Legg, Shane, Hassabis, Demis

Volltext

Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics von Cranmer, Kyle, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J., Shanahan, Phiala E.

Volltext

Flow-based sampling in the lattice Schwinger model at criticality von Albergo, Michael S., Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C., Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J., Romero-López, Fernando, Shanahan, Phiala E., Urban, Julian M.

Volltext

Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions von Abbott, Ryan, Albergo, Michael S., Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C., Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J., Romero-López, Fernando, Shanahan, Phiala E., Tian, Betsy, Urban, Julian M.

Volltext

Applications of flow models to the generation of correlated lattice QCD ensembles von Abbott, Ryan, Botev, Aleksandar, Boyda, Denis, Hackett, Daniel C., Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J., Romero-López, Fernando, Shanahan, Phiala E., Urban, Julian M.

Volltext

Aspects of scaling and scalability for flow-based sampling of lattice QCD von Abbott, Ryan, Albergo, Michael S., Botev, Aleksandar, Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C., Matthews, Alexander G. D. G., Racanière, Sébastien, Razavi, Ali, Rezende, Danilo J., Romero-López, Fernando, Shanahan, Phiala E., Urban, Julian M.

Volltext

Implicit Riemannian Concave Potential Maps von Rezende, Danilo J, Racanière, Sébastien

Volltext bestellen

Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics von Cranmer, Kyle, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J, Shanahan, Phiala E

Volltext

Generative Hierarchical Materials Search von Yang, Sherry, Batzner, Simon, Gao, Ruiqi, Aykol, Muratahan, Gaunt, Alexander L, McMorrow, Brendan, Rezende, Danilo J, Schuurmans, Dale, Mordatch, Igor, Cubuk, Ekin D

Volltext bestellen

Implicit Riemannian Concave Potential Maps von Rezende, Danilo J, Racanière, Sébastien

Volltext

Applications of flow models to the generation of correlated lattice QCD ensembles von Abbott, Ryan, Botev, Aleksandar, Boyda, Denis, Hackett, Daniel C, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J, Romero-López, Fernando, Shanahan, Phiala E, Urban, Julian M

Volltext bestellen

Conditional Set Generation with Transformers von Kosiorek, Adam R, Kim, Hyunjik, Rezende, Danilo J

Volltext bestellen

Continual Repeated Annealed Flow Transport Monte Carlo von Matthews, Alexander G. D. G, Arbel, Michael, Rezende, Danilo J, Doucet, Arnaud

Volltext bestellen

Combining Behaviors with the Successor Features Keyboard von Carvalho, Wilka, Saraiva, Andre, Filos, Angelos, Lampinen, Andrew Kyle, Matthey, Loic, Lewis, Richard L, Lee, Honglak, Singh, Satinder, Rezende, Danilo J, Zoran, Daniel

Volltext bestellen

Laser: Latent Set Representations for 3D Generative Modeling von Moreno, Pol, Kosiorek, Adam R, Strathmann, Heiko, Zoran, Daniel, Schneider, Rosalia G, Winckler, Björn, Markeeva, Larisa, Weber, Théophane, Rezende, Danilo J

Volltext bestellen

NeRF-VAE: A Geometry Aware 3D Scene Generative Model von Kosiorek, Adam R, Strathmann, Heiko, Zoran, Daniel, Moreno, Pol, Schneider, Rosalia, Mokrá, Soňa, Rezende, Danilo J

Volltext bestellen

Variational inference for Monte Carlo objectives von Mnih, Andriy, Rezende, Danilo J

Volltext bestellen

Normalizing flows for lattice gauge theory in arbitrary space-time dimension von Abbott, Ryan, Albergo, Michael S, Botev, Aleksandar, Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C, Kanwar, Gurtej, Matthews, Alexander G. D. G, Racanière, Sébastien, Razavi, Ali, Rezende, Danilo J, Romero-López, Fernando, Shanahan, Phiala E, Urban, Julian M

Volltext bestellen

Amortized learning of neural causal representations von Ke, Nan Rosemary, Wang, Jane. X, Mitrovic, Jovana, Szummer, Martin, Rezende, Danilo J

Volltext bestellen