Rezende, Danilo Jimenez

23 publications

TMLR 2025 Exploring Exploration with Foundation Agents in Interactive Environments Daniel P. Sawyer, Nan Rosemary Ke, Hubert Soyer, Martin Engelcke, John Reid, David P Reichert, Drew A. Hudson, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang

ICMLW 2024 Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Aniket Rajiv Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael Curtis Mozer, Sanjeev Arora

NeurIPS 2023 Combining Behaviors with the Successor Features Keyboard Wilka Carvalho Carvalho, Andre Saraiva, Angelos Filos, Andrew Lampinen, Loic Matthey, Richard L Lewis, Honglak Lee, Satinder P. Singh, Danilo Jimenez Rezende, Daniel Zoran

ICLR 2023 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende

ICML 2022 Continual Repeated Annealed Flow Transport Monte Carlo Alex Matthews, Michael Arbel, Danilo Jimenez Rezende, Arnaud Doucet

ICML 2022 From Data to Functa: Your Data Point Is a Function and You Can Treat It like One Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum

ICMLW 2022 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Matthew Botvinick, Theophane Weber, Michael Curtis Mozer, Danilo Jimenez Rezende

ICML 2021 NeRF-VAE: A Geometry Aware 3D Scene Generative Model Adam R Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokra, Danilo Jimenez Rezende

JMLR 2021 Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan

ICLR 2020 Hamiltonian Generative Networks Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins

ICML 2020 Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende, George Papamakarios, Sebastien Racaniere, Michael Albergo, Gurtej Kanwar, Phiala Shanahan, Kyle Cranmer

NeurIPS 2019 Shaping Belief States with Generative Environment Models for RL Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord

NeurIPS 2019 Towards Interpretable Reinforcement Learning Using Attention Augmented Agents Alexander Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo Jimenez Rezende

NeurIPS 2018 A Probabilistic U-Net for Segmentation of Ambiguous Images Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger

NeurIPS 2017 Imagination-Augmented Agents for Deep Reinforcement Learning Sébastien Racanière, Theophane Weber, David Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra

ICLR 2017 Variational Intrinsic Control Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra

NeurIPS 2017 Variational Memory Addressing in Generative Models Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende

NeurIPS 2016 Interaction Networks for Learning About Objects, Relations and Physics Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu

NeurIPS 2016 Towards Conceptual Compression Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra

NeurIPS 2016 Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess

NeurIPS 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning Shakir Mohamed, Danilo Jimenez Rezende

NeurIPS 2014 Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende, Max Welling

ICML 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra