Papamakarios, George

13 publications

ICML 2023 Compositional Score Modeling for Simulation-Based Inference Tomas Geffner, George Papamakarios, Andriy Mnih

TMLR 2023 Equivariant MuZero Andreea Deac, Theophane Weber, George Papamakarios

LoG 2022 A Generalist Neural Algorithmic Learner Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

NeurIPSW 2022 Score Modeling for Simulation-Based Inference Tomas Geffner, George Papamakarios, Andriy Mnih

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

ICML 2021 The Lipschitz Constant of Self-Attention Hyunjik Kim, George Papamakarios, Andriy Mnih

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

ICML 2020 On Contrastive Learning for Likelihood-Free Inference Conor Durkan, Iain Murray, George Papamakarios

NeurIPS 2019 Neural Spline Flows Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios

AISTATS 2019 Sequential Neural Likelihood: Fast Likelihood-Free Inference with Autoregressive Flows George Papamakarios, David Sterratt, Iain Murray

ICLR 2019 Temporal Difference Variational Auto-Encoder Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber

NeurIPS 2017 Masked Autoregressive Flow for Density Estimation George Papamakarios, Theo Pavlakou, Iain Murray

NeurIPS 2016 Fast Ε-Free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios, Iain Murray