George Papamakarios

32 papers A* 5A 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Compositional Score Modeling for Simulation-Based Inference. ICML Tomas Geffner, George Papamakarios, Andriy Mnih
2023	J	`jnl`	Equivariant MuZero. CoRR Andreea Deac, Théophane Weber, George Papamakarios
2023	J	`jnl`	Equivariant MuZero. Trans. Mach. Learn. Res. Andreea Deac, Theophane Weber, George Papamakarios
2023	J	`jnl`	Estimating Gibbs free energies via isobaric-isothermal flows. Mach. Learn. Sci. Technol. Peter Wirnsberger, Borja Ibarz, George Papamakarios
2023	J	`jnl`	Gibbs free energies via isobaric-isothermal flows. CoRR Peter Wirnsberger, Borja Ibarz, George Papamakarios
2022	—	`conf`	A Generalist Neural Algorithmic Learner. LoG 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
2022	J	`jnl`	A Generalist Neural Algorithmic Learner. CoRR 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
2022	J	`jnl`	Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell
2022	J	`jnl`	Score Modeling for Simulation-based Inference. CoRR Tomas Geffner, George Papamakarios, Andriy Mnih
2021	J	`jnl`	Normalizing Flows for Probabilistic Modeling and Inference. J. Mach. Learn. Res. George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
2021	A*	`conf`	The Lipschitz Constant of Self-Attention. ICML Hyunjik Kim, George Papamakarios, Andriy Mnih
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	A*	`conf`	Normalizing Flows on Tori and Spheres. ICML Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
2020	J	`jnl`	Normalizing Flows on Tori and Spheres. CoRR Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
2020	A*	`conf`	On Contrastive Learning for Likelihood-free Inference. ICML Conor Durkan, Iain Murray, George Papamakarios
2020	J	`jnl`	On Contrastive Learning for Likelihood-free Inference. CoRR Conor Durkan, Iain Murray, George Papamakarios
2020	J	`jnl`	The Lipschitz Constant of Self-Attention. CoRR Hyunjik Kim, George Papamakarios, Andriy Mnih
2019	J	`jnl`	Cubic-Spline Flows. CoRR Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019	J	`jnl`	Neural Density Estimation and Likelihood-free Inference. CoRR George Papamakarios
2019	A*	`conf`	Neural Spline Flows. NeurIPS Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019	J	`jnl`	Neural Spline Flows. CoRR Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019	—	`—`	Neural density estimation and likelihood-free inference. George Papamakarios
2019	J	`jnl`	Normalizing Flows for Probabilistic Modeling and Inference. CoRR George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
2019	A	`conf`	Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. AISTATS George Papamakarios, David C. Sterratt, Iain Murray
2019	—	`conf`	Temporal Difference Variational Auto-Encoder. ICLR Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber
2018	J	`jnl`	Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. CoRR George Papamakarios, David C. Sterratt, Iain Murray
2018	J	`jnl`	Sequential Neural Methods for Likelihood-free Inference. CoRR Conor Durkan, George Papamakarios, Iain Murray
2017	—	`conf`	Masked Autoregressive Flow for Density Estimation. NIPS George Papamakarios, Iain Murray, Theo Pavlakou
2017	J	`jnl`	Masked Autoregressive Flow for Density Estimation. CoRR George Papamakarios, Theo Pavlakou, Iain Murray
2016	—	`conf`	Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. NIPS George Papamakarios, Iain Murray
2016	J	`jnl`	Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. CoRR George Papamakarios, Iain Murray
2015	J	`jnl`	Distilling Model Knowledge. CoRR George Papamakarios