DR
Danilo J. Rezende
cs.LGstat.MLcs.AIhep-latcs.CVcond-mat.stat-mechcs.NEgr-qcstat.COstat.ME
On Valency
published · living versionsW_d722f379·v1 · currentpublished
Semi-Supervised Learning with Deep Generative Models
with Diederik P. Kingma, Shakir Mohamed, Max Welling
1 version
Preprints & journals
75 papers in the corpus · 2007–2024Can foundation models actively gather information in interactive environments to test hypotheses?2412.06438v2 · Danny P. Sawyer, Nan Rosemary Ke, Hubert Soyer et al.2024 · 0 citationsarXiv
Scaling Instructable Agents Across Many Simulated Worlds2404.10179v3 · SIMA Team, Maria Abi Raad, Arun Ahuja et al.2024 · 9 citationsarXiv
Generative Hierarchical Materials Search2409.06762v1 · Sherry Yang, Simon Batzner, Ruiqi Gao et al.2024 · 1 citationarXiv
Applications of flow models to the generation of correlated lattice QCD ensembles2401.10874v2 · Ryan Abbott, Aleksandar Botev, Denis Boyda et al.2024 · 16 citationsarXiv
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving2405.12205v1 · Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke et al.2024 · 11 citationsarXiv
Variational Information Bottleneck for Semi-Supervised Classification.33286710 · Voloshynovskiy, Slava, Taran, Olga, Kondah, Mouad et al.2024 · 20 citationsEntropy (Basel, Switzerland). 2020;22(9)
Symmetry-Based Representations for Artificial and Biological General Intelligence.35493854 · Higgins, Irina, Racanière, Sébastien, Rezende, Danilo2023 · 39 citationsFrontiers in computational neuroscience. 2022;16:836498
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics2309.01156v1 · Kyle Cranmer, Gurtej Kanwar, S'ebastien Racaniere et al.2023 · 32 citationsNature Reviews Physics 5, 526-535 (2023)
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions2207.08945v3 · Ryan Abbott, Michael S. Albergo, Denis Boyda et al.2022 · 49 citationsPhys.Rev.D 106 (2022) 7, 074506
Normalizing flows for lattice gauge theory in arbitrary space-time dimension2305.02402v1 · Ryan Abbott, Michael S. Albergo, Aleksandar Botev et al.2023 · 10 citationsarXiv
DiscoGen: Learning to Discover Gene Regulatory Networks2304.05823v1 · Nan Rosemary Ke, Sara-Jane Dunn, Jorg Bornschein et al.2023 · 1 citationarXiv
DiscoGen: Learning to Discover Gene Regulatory Networks10.1101/2023.04.11.536361v1 · Ke, N. R., Dunn, S.-J., Bornschein, J. et al.2023 · 1 citationbioRxiv
Continual Repeated Annealed Flow Transport Monte Carlo2201.13117v3 · Alexander G. D. G. Matthews, Michael Arbel, Danilo J. Rezende et al.2022 · 5 citationsarXiv
Laser: Latent Set Representations for 3D Generative Modeling2301.05747v1 · Pol Moreno, Adam R. Kosiorek, Heiko Strathmann et al.2023 · 0 citationsarXiv
Aspects of scaling and scalability for flow-based sampling of lattice QCD2211.07541v1 · Ryan Abbott, Michael S. Albergo, Aleksandar Botev et al.2022 · 38 citationsarXiv
From data to functa: Your data point is a function and you can treat it like one2201.12204v3 · Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami et al.2022 · 21 citationsarXiv
Learning to Induce Causal Structure2204.04875v2 · Nan Rosemary Ke, Silvia Chiappa, Jane Wang et al.2022 · 17 citationsarXiv
Sampling QCD field configurations with gauge-equivariant flow models2208.03832v2 · Ryan Abbott, Michael S. Albergo, Aleksandar Botev et al.2022 · 24 citationsarXiv
Flow-based sampling in the lattice Schwinger model at criticality2202.11712v1 · Michael S. Albergo, Denis Boyda, Kyle Cranmer et al.2022 · 41 citationsarXiv
Symmetry-Based Representations for Artificial and Biological General Intelligence2203.09250v1 · Irina Higgins, S'ebastien Racaniere, Danilo Rezende2022 · 39 citationsarXiv
Flow-based sampling for fermionic lattice field theories2106.05934v2 · Michael S. Albergo, Gurtej Kanwar, S'ebastien Racaniere et al.2021 · 47 citationsPhys. Rev. D 104, 114507 (2021)
Implicit Riemannian Concave Potential Maps2110.01288v1 · Danilo J. Rezende, S'ebastien Racaniere2021 · 0 citationsarXiv
Introduction to Normalizing Flows for Lattice Field Theory2101.08176v3 · Michael S. Albergo, Denis Boyda, Daniel C. Hackett et al.2021 · 15 citationsarXiv
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning2107.00848v1 · Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal et al.2021 · 8 citationsarXiv
Sampling using $SU(N)$ gauge equivariant flows2008.05456v2 · Denis Boyda, Gurtej Kanwar, S'ebastien Racaniere et al.2020 · 119 citationsPhys. Rev. D 103, 074504 (2021)
Normalizing Flows for Probabilistic Modeling and Inference1912.02762v2 · George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende et al.2019 · 340 citationsJournal of Machine Learning Research, 22(57):1-64, 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model2104.00587v1 · Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran et al.2021 · 49 citationsarXiv
Integrable Nonparametric Flows2012.02035v1 · David Pfau, Danilo Rezende2020 · 1 citationarXiv
Equivariant flow-based sampling for lattice gauge theory2003.06413v1 · Gurtej Kanwar, Michael S. Albergo, Denis Boyda et al.2020 · 205 citationsPhys. Rev. Lett. 125, 121601 (2020)
Amortized learning of neural causal representations2008.09301v1 · Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic et al.2020 · 4 citationsarXiv
Normalizing Flows on Tori and Spheres2002.02428v2 · Danilo Jimenez Rezende, George Papamakarios, S'ebastien Racaniere et al.2020 · 75 citationsarXiv
Conditional Set Generation with Transformers2006.16841v2 · Adam R Kosiorek, Hyunjik Kim, Danilo J Rezende2020 · 20 citationsarXiv
Neural Communication Systems with Bandwidth-limited Channel2003.13367v2 · Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende2020 · 1 citationarXiv
Hamiltonian Generative Networks1909.13789v2 · Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle et al.2019 · 26 citationsarXiv
Causally Correct Partial Models for Reinforcement Learning2002.02836v1 · Danilo J. Rezende, Ivo Danihelka, George Papamakarios et al.2020 · 15 citationsarXiv
Information bottleneck through variational glasses1912.00830v2 · Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar et al.2019 · 21 citationsarXiv
Equivariant Hamiltonian Flows1909.13739v1 · Danilo Jimenez Rezende, S'ebastien Racaniere, Irina Higgins et al.2019 · 38 citationsarXiv
Shaping Belief States with Generative Environment Models for RL1906.09237v2 · Karol Gregor, Danilo Jimenez Rezende, Frederic Besse et al.2019 · 60 citationsarXiv
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents1906.02500v1 · Alex Mott, Daniel Zoran, Mike Chrzanowski et al.2019 · 59 citationsarXiv
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities1905.13077v1 · Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein et al.2019 · 27 citationsarXiv
Consistent Generative Query Networks1807.02033v3 · Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende et al.2018 · 15 citationsarXiv
Building machines that learn and think for themselves.29342685 · Botvinick, Matthew, Barrett, David G T, Battaglia, Peter et al.2019 · 55 citationsThe Behavioral and brain sciences. 2017;40:e255
Beyond Greedy Ranking: Slate Optimization via List-CVAE1803.01682v6 · Ray Jiang, Sven Gowal, Timothy A. Mann et al.2018 · 16 citationsarXiv
A Probabilistic U-Net for Segmentation of Ambiguous Images1806.05034v4 · Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer et al.2018 · 151 citationsarXiv
Learning models for visual 3D localization with implicit mapping1807.03149v2 · Dan Rosenbaum, Frederic Besse, Fabio Viola et al.2018 · 16 citationsarXiv
Towards a Definition of Disentangled Representations1812.02230v1 · Irina Higgins, David Amos, David Pfau et al.2018 · 284 citationsarXiv
Neural scene representation and rendering.29903970 · Eslami, S M Ali, Jimenez Rezende, Danilo, Besse, Frederic et al.2018 · 526 citationsScience (New York, N.Y.). 2018;360(6394):1204-1210
Taming VAEs1810.00597v1 · Danilo Jimenez Rezende, Fabio Viola2018 · 28 citationsarXiv
Generative Temporal Models with Spatial Memory for Partially Observed Environments1804.09401v2 · Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols et al.2018 · 20 citationsarXiv
Conditional Neural Processes1807.01613v1 · Marta Garnelo, Dan Rosenbaum, Chris J. Maddison et al.2018 · 51 citationsarXiv
Career total: 98 works. 75 are in this corpus.Showing the 50 most recent.
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