Yulia Rubanova
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Research topics
Deep Learning
(10)
Machine Learning
(7)
Architectures
(6)
Computer Vision
(5)
Models
(4)
Analysis
(3)
Application Areas Β· Machine Learning
(3)
Core Methods
(3)
Generation
(3)
Optimization & Theory
(3)
Processing
(2)
Computer Science
(1)
Application Areas Β· Deep Learning
(1)
Applications
(1)
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Keywords
graph neural network
(4)
latent dynamics
(2)
ordinary differential equation
(2)
rigid body simulation
(2)
interpretability
(1)
self-supervised learning
(1)
black-box optimization
(1)
visual representation
(1)
video prediction
(1)
deep learning
(1)
discrete optimization
(1)
3d pose estimation
(1)
bayesian optimization
(1)
amortized inference
(1)
diffusion model
(1)
video understanding
(1)
latent variable model
(1)
acquisition function
(1)
normalizing flow
(1)
generative model
(1)
Papers
Direct Motion Models for Assessing Generated Videos
ICML 2025
Learning 3D Particle-based Simulators from RGB-D Videos
ICLR 2024
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
NeurIPS 2024
Moving Off-the-Grid: Scene-Grounded Video Representations
NeurIPS 2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
NeurIPS 2024
Learning rigid dynamics with face interaction graph networks
ICLR 2023
Constraint-based graph network simulator
ICML 2022
Graph network simulators can learn discontinuous, rigid contact dynamics
CoRL 2022
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
ICLR 2022
Amortized Bayesian Optimization over Discrete Spaces
UAI 2020
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
NeurIPS 2019
Neural Ordinary Differential Equations
NeurIPS 2018