Danilo Jimenez Rezende
18 papers · 2014–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (9)
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Academic Marathon
(9)
π£
Hot Topic Early Bird
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Cross-Pollinator
(14)
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Deep Specialist
(10)
ποΈ
Keyword Collector
(89)
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Century Club
(18)
π₯
Unstoppable
(10)
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Trend Setter
Conferences
NIPS (11)
ICML (5)
ICLR (1)
JMLR (1)
Top co-authors
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