Justin Bayer
11 papers · 2010–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20)
π§¬
Topic Evolution
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(51)
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Deep Learning
(5)
Core AI
(5)
Optimization & Theory
(4)
Models
(3)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Core Methods
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Robotics
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Capabilities
(1)
Learning Paradigms
(1)
Keywords
variational inference
(4)
latent space
(2)
differentiable rendering
(2)
state space model
(2)
variational autoencoder
(2)
probabilistic inference
(2)
pose estimation
(1)
bayesian learning
(1)
network architecture
(1)
neural architecture search
(1)
visual navigation
(1)
model predictive control
(1)
sequential model
(1)
visual slam
(1)
generative model
(1)
3d vision
(1)
amortized inference
(1)
riemannian manifold
(1)
riemannian geometry
(1)
approximate bayesian inference
(1)
Papers
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters
CoRL 2024
Filter-Aware Model-Predictive Control
L4DC 2023
PRISM: Probabilistic Real-Time Inference in Spatial World Models
CoRL 2022
Tracking and Planning with Spatial World Models
L4DC 2022
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
ICLR 2021
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
ICLR 2021
Learning Flat Latent Manifolds with VAEs
ICML 2020
Approximate Bayesian Inference in Spatial Environments
RSS 2019
Bayesian Learning of Neural Network Architectures
AISTATS 2019
Metrics for Deep Generative Models
AISTATS 2018
PyBrain
JMLR 2010