← Authors

Danilo Jimenez Rezende

18 papers · 2014–2023 · 4 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (32) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (89) πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter

Conferences

NIPS (11) ICML (5) ICLR (1) JMLR (1)

Top co-authors

Shakir Mohamed (5) Daan Wierstra (4) Daniel Zoran (4) Peter Battaglia (3) S. M. Ali Eslami (3) Sébastien Racanière (2) Razvan Pascanu (2) Frederic Besse (2) Karol Gregor (2) Nicolas Heess (2)

Keywords

variational inference (6) generative model (5) deep generative model (4) approximate inference (3) variational autoencoder (3) normalizing flow (3) reinforcement learning (2) neural radiance field (2) model-based reinforcement learning (2) deep reinforcement learning (2) bayesian inference (1) probabilistic modeling (1) 3d reconstruction (1) generative modeling (1) few-shot learning (1) semi-supervised learning (1) volume rendering (1) attention mechanism (1) knowledge transfer (1) medical imaging (1)

Papers

Learning to Induce Causal Structure ICLR 2023
Combining Behaviors with the Successor Features Keyboard NIPS 2023
From data to functa: Your data point is a function and you can treat it like one ICML 2022
Continual Repeated Annealed Flow Transport Monte Carlo ICML 2022
NeRF-VAE: A Geometry Aware 3D Scene Generative Model ICML 2021
Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021
Normalizing Flows on Tori and Spheres ICML 2020
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents NIPS 2019
Shaping Belief States with Generative Environment Models for RL NIPS 2019
A Probabilistic U-Net for Segmentation of Ambiguous Images NIPS 2018
Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017
Variational Memory Addressing in Generative Models NIPS 2017
Interaction Networks for Learning about Objects, Relations and Physics NIPS 2016
Unsupervised Learning of 3D Structure from Images NIPS 2016
Towards Conceptual Compression NIPS 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NIPS 2015
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Semi-supervised Learning with Deep Generative Models NIPS 2014