Danilo Jimenez Rezende
18 papers · 2014–2023 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39)
🔬
Deep Specialist
(10)
🗃️
Keyword Collector
(101)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Silver
Venues
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(11)
Artificial Intelligence
(10)
Models
(10)
Learning Types · Deep Learning
(7)
Core AI
(5)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Reinforcement Learning
(4)
Learning Paradigms
(4)
Methods
(4)
Computer Vision
(3)
Analysis
(3)
Architectures
(3)
Bayesian & Probabilistic
(3)
Keywords
variational inference
(6)
generative model
(5)
deep generative model
(4)
approximate inference
(3)
variational autoencoder
(3)
normalizing flow
(3)
deep reinforcement learning
(2)
neural radiance field
(2)
model-based reinforcement learning
(2)
reinforcement learning
(2)
3d reconstruction
(1)
few-shot learning
(1)
probabilistic modeling
(1)
volume rendering
(1)
semi-supervised learning
(1)
image segmentation
(1)
representation learning
(1)
medical imaging
(1)
attention mechanism
(1)
uncertainty quantification
(1)
Papers
Combining Behaviors with the Successor Features Keyboard
NeurIPS 2023
Learning to Induce Causal Structure
ICLR 2023
Continual Repeated Annealed Flow Transport Monte Carlo
ICML 2022
From data to functa: Your data point is a function and you can treat it like one
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
Shaping Belief States with Generative Environment Models for RL
NeurIPS 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
NeurIPS 2019
A Probabilistic U-Net for Segmentation of Ambiguous Images
NeurIPS 2018
Imagination-Augmented Agents for Deep Reinforcement Learning
NeurIPS 2017
Variational Memory Addressing in Generative Models
NeurIPS 2017
Interaction Networks for Learning about Objects, Relations and Physics
NeurIPS 2016
Towards Conceptual Compression
NeurIPS 2016
Unsupervised Learning of 3D Structure from Images
NeurIPS 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
NeurIPS 2015
Semi-supervised Learning with Deep Generative Models
NeurIPS 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
ICML 2014