George Papamakarios

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 30

Top Topics

Density Estimation

Neural Classifier

Probabilistic Modeling

Top Venues

Mach. Learn. Sci. Technol.

Publications

Peter Wirnsberger, Borja Ibarz, George Papamakarios
Estimating Gibbs free energies via isobaric-isothermal flows. Mach. Learn. Sci. Technol. 4 (3) (2023)
Tomas Geffner, George Papamakarios, Andriy Mnih
Compositional Score Modeling for Simulation-Based Inference. ICML (2023)
Andreea Deac, Theophane Weber, George Papamakarios
Equivariant MuZero. Trans. Mach. Learn. Res. 2023 (2023)
Andreea Deac, Théophane Weber, George Papamakarios
Equivariant MuZero. CoRR (2023)
Peter Wirnsberger, Borja Ibarz, George Papamakarios
Gibbs free energies via isobaric-isothermal flows. CoRR (2023)
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
A Generalist Neural Algorithmic Learner. LoG (2022)
Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell
Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. 3 (2) (2022)
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
A Generalist Neural Algorithmic Learner. CoRR (2022)
Tomas Geffner, George Papamakarios, Andriy Mnih
Score Modeling for Simulation-based Inference. CoRR (2022)
Hyunjik Kim, George Papamakarios, Andriy Mnih
The Lipschitz Constant of Self-Attention. ICML (2021)
George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
Normalizing Flows for Probabilistic Modeling and Inference. J. Mach. Learn. Res. 22 (2021)
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
Causally Correct Partial Models for Reinforcement Learning. CoRR (2020)
Hyunjik Kim, George Papamakarios, Andriy Mnih
The Lipschitz Constant of Self-Attention. CoRR (2020)
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
Normalizing Flows on Tori and Spheres. CoRR (2020)
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
Normalizing Flows on Tori and Spheres. ICML (2020)
Conor Durkan, Iain Murray, George Papamakarios
On Contrastive Learning for Likelihood-free Inference. ICML (2020)
Conor Durkan, Iain Murray, George Papamakarios
On Contrastive Learning for Likelihood-free Inference. CoRR (2020)
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Neural Spline Flows. CoRR (2019)
George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
Normalizing Flows for Probabilistic Modeling and Inference. CoRR (2019)
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Neural Spline Flows. NeurIPS (2019)
George Papamakarios, David C. Sterratt, Iain Murray
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. AISTATS (2019)
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Cubic-Spline Flows. CoRR (2019)
George Papamakarios
Neural Density Estimation and Likelihood-free Inference. CoRR (2019)
Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber
Temporal Difference Variational Auto-Encoder. ICLR (2019)
Conor Durkan, George Papamakarios, Iain Murray
Sequential Neural Methods for Likelihood-free Inference. CoRR (2018)
George Papamakarios, David C. Sterratt, Iain Murray
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. CoRR (2018)
George Papamakarios, Iain Murray, Theo Pavlakou
Masked Autoregressive Flow for Density Estimation. NIPS (2017)
George Papamakarios, Theo Pavlakou, Iain Murray
Masked Autoregressive Flow for Density Estimation. CoRR (2017)
George Papamakarios, Iain Murray
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. CoRR (2016)
George Papamakarios, Iain Murray
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. NIPS (2016)
George Papamakarios
Distilling Model Knowledge. CoRR (2015)