Hedvig Kjellström
18 papers · 2012–2025 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
🧭
Keyword Pioneer
🗃️
Keyword Collector
(117)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
❓
The Questioner
(3)
🌈
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(12)
Core Methods
(9)
Core AI
(8)
Computer Vision
(7)
Learning Types
(6)
Optimization & Theory
(6)
Analysis
(5)
Deep Learning
(4)
Knowledge & Reasoning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Reasoning
(4)
Application Areas
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Data Science & Analytics
(2)
Keywords
causal discovery
(4)
missing data
(2)
gaussian process
(2)
causal inference
(2)
temporal modeling
(2)
action recognition
(2)
recurrent neural network
(2)
uncertainty quantification
(1)
density estimation
(1)
continual learning
(1)
bayesian inference
(1)
multi-instance learning
(1)
feature extraction
(1)
multi-task learning
(1)
medical imaging
(1)
domain generalization
(1)
self-supervised learning
(1)
multimodal learning
(1)
video understanding
(1)
optimal transport
(1)
Papers
Causal Discovery from Conditionally Stationary Time Series
ICML 2025
VAREN: Very Accurate and Realistic Equine Network
CVPR 2024
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
WACV 2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
ICCV 2023
Aligned Multi-Task Gaussian Process
AISTATS 2022
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
WACV 2022
Optimal Transport for Causal Discovery
ICLR 2022
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
ACML 2021
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks
WACV 2020
How do fair decisions fare in long-term qualification?
NeurIPS 2020
Non-Parametric Calibration for Classification
AISTATS 2020
Causal Discovery in the Presence of Missing Data
AISTATS 2019
Dynamics Are Important for the Recognition of Equine Pain in Video
CVPR 2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
NeurIPS 2019
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation
MLHC 2019
Deep Representation Learning for Human Motion Prediction and Classification
CVPR 2017
Diagnostic Prediction Using Discomfort Drawings with IBTM
MLHC 2016
Persistent Homology for Learning Densities with Bounded Support
NeurIPS 2012