Danica Kragic
25 papers · 2012–2025 · 14 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (14)
π£
Hot Topic Early Bird
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Keyword Champion
π
Grand Slam
π
Century Club
(25)
β‘
Prolific Year
(5)
π
Trend Setter
β
The Questioner
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(106)
Conferences
CORL (5)
ICML (4)
RSS (3)
AISTATS (2)
NIPS (2)
AAAI (1)
COLT (1)
CVPR (1)
ICLR (1)
IJCAI (1)
JMLR (1)
L4DC (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
representation learning
(3)
generative model
(3)
density estimation
(2)
high-dimensional datum
(2)
reinforcement learning
(2)
bayesian optimization
(2)
contrastive learning
(2)
latent space
(2)
topological data analysis
(2)
image generation
(1)
function approximation
(1)
human perception
(1)
motion synthesis
(1)
geometric analysis
(1)
dimensionality reduction
(1)
stability analysis
(1)
feature extraction
(1)
human-robot interaction
(1)
group theory
(1)
path planning
(1)
Papers
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
ICLR 2025
MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs
CORL 2025
Human-Aligned Image Models Improve Visual Decoding from the Brain
ICML 2025
Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation
CORL 2024
Can Transformers Smell Like Humans?
NIPS 2024
Scalable Motion Style Transfer with Constrained Diffusion Generation
AAAI 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
COLT 2024
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision
CORL 2024
Dance Style Transfer With Cross-Modal Transformer
WACV 2023
An Efficient and Continuous Voronoi Density Estimator
AISTATS 2023
Equivariant Representation Learning via Class-Pose Decomposition
AISTATS 2023
Voronoi density estimator for high-dimensional data: Computation, compactification and convergence
UAI 2022
Active Nearest Neighbor Regression Through Delaunay Refinement
ICML 2022
Geometric Multimodal Contrastive Representation Learning
ICML 2022
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models
JMLR 2022
Sequential Topological Representations for Predictive Models of Deformable Objects
L4DC 2021
GeomCA: Geometric Evaluation of Data Representations
ICML 2021
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
CORL 2019
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
CORL 2018
Interactive, Collaborative Robots: Challenges and Opportunities
IJCAI 2018
Deep Representation Learning for Human Motion Prediction and Classification
CVPR 2017
Herding by Caging: a Topological Approach towards Guiding Moving Agents via Mobile Robots
RSS 2017
Data-Driven Topological Motion Planning with Persistent Cohomology
RSS 2015
Grasp Moduli Spaces
RSS 2013
Persistent Homology for Learning Densities with Bounded Support
NIPS 2012