Danilo J. Rezende

36 papers A* 2Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Applications of flow models to the generation of correlated lattice QCD ensembles. CoRR Ryan Abbott, Aleksandar Botev, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
2024	J	`jnl`	Generative Hierarchical Materials Search. CoRR Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo J. Rezende, Dale Schuurmans, Igor Mordatch, Ekin D. Cubuk
2024	J	`jnl`	Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. CoRR Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora
2024	J	`jnl`	Scaling Instructable Agents Across Many Simulated Worlds. CoRR SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
2023	J	`jnl`	Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics. CoRR Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Phiala E. Shanahan
2023	J	`jnl`	Combining Behaviors with the Successor Features Keyboard. CoRR Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
2023	J	`jnl`	DiscoGen: Learning to Discover Gene Regulatory Networks. CoRR Nan Rosemary Ke, Sara-Jane Dunn, Jörg Bornschein, Silvia Chiappa, Mélanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane X. Wang, Theophane Weber, David G. T. Barrett, Matthew M. Botvinick, Anirudh Goyal, Michael Mozer, Danilo J. Rezende
2023	J	`jnl`	Laser: Latent Set Representations for 3D Generative Modeling. CoRR Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende
2023	J	`jnl`	Normalizing flows for lattice gauge theory in arbitrary space-time dimension. CoRR Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
2022	J	`jnl`	Aspects of scaling and scalability for flow-based sampling of lattice QCD. CoRR Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
2022	J	`jnl`	Continual Repeated Annealed Flow Transport Monte Carlo. CoRR Alexander G. de G. Matthews, Michael Arbel, Danilo J. Rezende, Arnaud Doucet
2022	J	`jnl`	Flow-based sampling in the lattice Schwinger model at criticality. CoRR Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
2022	J	`jnl`	From data to functa: Your data point is a function and you should treat it like one. CoRR Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum
2022	J	`jnl`	Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. CoRR Ryan Abbott, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Betsy Tian, Julian M. Urban
2022	J	`jnl`	Symmetry-Based Representations for Artificial and Biological General Intelligence. CoRR Irina Higgins, Sébastien Racanière, Danilo J. Rezende
2022	J	`jnl`	Symmetry-Based Representations for Artificial and Biological General Intelligence. Frontiers Comput. Neurosci. Irina Higgins, Sébastien Racanière, Danilo J. Rezende
2021	J	`jnl`	Flow-based sampling for fermionic lattice field theories. CoRR Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan
2021	J	`jnl`	Implicit Riemannian Concave Potential Maps. CoRR Danilo J. Rezende, Sébastien Racanière
2021	J	`jnl`	NeRF-VAE: A Geometry Aware 3D Scene Generative Model. CoRR Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo J. Rezende
2021	A*	`conf`	PARTS: Unsupervised segmentation with slots, attention and independence maximization. ICCV Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende
2021	J	`jnl`	Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. CoRR Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal
2020	J	`jnl`	Amortized learning of neural causal representations. CoRR Nan Rosemary Ke, Jane X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende
2020	J	`jnl`	Causally Correct Partial Models for Reinforcement Learning. CoRR Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing
2020	J	`jnl`	Conditional Set Generation with Transformers. CoRR Adam R. Kosiorek, Hyunjik Kim, Danilo J. Rezende
2020	A*	`conf`	Hamiltonian Generative Networks. ICLR Peter Toth, Danilo J. Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
2020	J	`jnl`	Integrable Nonparametric Flows. CoRR David Pfau, Danilo J. Rezende
2020	J	`jnl`	Variational Information Bottleneck for Semi-Supervised Classification. Entropy Slava Voloshynovskiy, Olga Taran, Mouad Kondah, Taras Holotyak, Danilo J. Rezende
2019	—	`conf`	Beyond Greedy Ranking: Slate Optimization via List-CVAE. ICLR (Poster) Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy A. Mann, Danilo J. Rezende
2019	J	`jnl`	Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. CoRR Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende
2018	J	`jnl`	Conditional Neural Processes. CoRR Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Consistent Generative Query Networks. CoRR Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan
2018	—	`conf`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas
2018	J	`jnl`	Learning models for visual 3D localization with implicit mapping. CoRR Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Neural Processes. CoRR Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh
2018	J	`jnl`	Optimizing Slate Recommendations via Slate-CVAE. CoRR Ray Jiang, Sven Gowal, Timothy A. Mann, Danilo J. Rezende
2018	J	`jnl`	Towards a Definition of Disentangled Representations. CoRR Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner