Pfau, David

10 publications

ICML 2025 Wasserstein Policy Optimization David Pfau, Ian Davies, Diana L Borsa, João Guilherme Madeira Araújo, Brendan Daniel Tracey, Hado Van Hasselt

ICLR 2023 A Self-Attention Ansatz for Ab-Initio Quantum Chemistry Ingrid von Glehn, James S Spencer, David Pfau

IJCAI 2022 Making Sense of Raw Input (Extended Abstract) Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot

NeurIPS 2020 Disentangling by Subspace Diffusion David Pfau, Irina Higgins, Alex Botev, Sébastien Racanière

ICLR 2019 Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld

ICLR 2017 Unrolled Generative Adversarial Networks Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein

NeurIPS 2016 Learning to Learn by Gradient Descent by Gradient Descent Marcin Andrychowicz, Misha Denil, Sergio Gómez, Matthew W Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas

NeurIPS 2013 Robust Learning of Low-Dimensional Dynamics from Large Neural Ensembles David Pfau, Eftychios A Pnevmatikakis, Liam Paninski

ICML 2010 Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process Nicholas Bartlett, David Pfau, Frank D. Wood

NeurIPS 2010 Probabilistic Deterministic Infinite Automata David Pfau, Nicholas Bartlett, Frank Wood