Danilo Jimenez Rezende
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
2
Active years
2014–2023
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | Learning to Induce Causal Structure. | Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jrg Bornschein, Anirudh Goyal, Mlanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende |
| 2022 | ICML | From data to functa: Your data point is a function and you can treat it like one. | Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum |
| 2022 | ICML | Continual Repeated Annealed Flow Transport Monte Carlo. | Alexander G. de G. Matthews, Michael Arbel, Danilo Jimenez Rezende, Arnaud Doucet |
| 2021 | ICML | NeRF-VAE: A Geometry Aware 3D Scene Generative Model. | Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokr, Danilo Jimenez Rezende |
| 2020 | ICML | Normalizing Flows on Tori and Spheres. | Danilo Jimenez Rezende, George Papamakarios, Sbastien Racanire, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer |
| 2018 | ICML | Generative Temporal Models with Spatial Memory for Partially Observed Environments. | Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola |
| 2018 | ICML | Conditional Neural Processes. | Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami |
| 2017 | ICLR | Variational Intrinsic Control. | Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra |
| 2016 | ICML | Variational Inference for Monte Carlo Objectives. | Andriy Mnih, Danilo Jimenez Rezende |
| 2016 | ICML | One-Shot Generalization in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra |
| 2015 | ICML | DRAW: A Recurrent Neural Network For Image Generation. | Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra |
| 2015 | ICML | Variational Inference with Normalizing Flows. | Danilo Jimenez Rezende, Shakir Mohamed |
| 2014 | ICML | Stochastic Backpropagation and Approximate Inference in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra |